{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 第一周作业 - 基础作业\n",
    "## 问题描述\n",
    "数据说明： Capital Bikeshare （美国Washington, D.C.的一个共享单车公司）提供的共享单车数据。数据包含每天的日期、天气等信息，需要预测每天的共享单车骑行量\n",
    "\n",
    "## 批改标准\n",
    "1. 对数据做数据探索分析（可参考EDA_BikeSharing.ipynb，不计分） \n",
    "2. 适当的特征工程（可参考FE_BikeSharing.ipynb，不计分） \n",
    "3. 对全体数据，随机选择其中80%做训练数据，剩下20%为测试数据，评价指标为RMSE。（10分） \n",
    "4. 用训练数据训练最小二乘线性回归模型（20分）、岭回归模型、Lasso模型，其中岭回归模型（30分）和Lasso模型（30分）需采用5折交叉验证得到最佳正则超参数。 \n",
    "5. 比较用上述三种模型得到的各特征的系数，以及各模型在测试集上的性能。并简单说明原因。（10分）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 导入必要的包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据读取及基本处理\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "# plotting\n",
    "import seaborn as sn\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "# setting params\n",
    "params = {'legend.fontsize': 'x-large',\n",
    "          'figure.figsize': (30, 10),\n",
    "          'axes.labelsize': 'x-large',\n",
    "          'axes.titlesize':'x-large',\n",
    "          'xtick.labelsize':'x-large',\n",
    "          'ytick.labelsize':'x-large'}\n",
    "\n",
    "sn.set_style('whitegrid')\n",
    "sn.set_context('talk')\n",
    "\n",
    "plt.rcParams.update(params)\n",
    "pd.options.display.max_colwidth = 600\n",
    "\n",
    "# pandas display data frames as tables\n",
    "from IPython.display import display, HTML"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 数据探索分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.1 导入相关的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  2011-01-01       1   0     1        0        6           0   \n",
       "1        2  2011-01-02       1   0     1        0        0           0   \n",
       "2        3  2011-01-03       1   0     1        0        1           1   \n",
       "3        4  2011-01-04       1   0     1        0        2           1   \n",
       "4        5  2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
       "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
       "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
       "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
       "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读入数据\n",
    "train = pd.read_csv(\"day.csv\")\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 16 columns):\n",
      "instant       731 non-null int64\n",
      "dteday        731 non-null object\n",
      "season        731 non-null int64\n",
      "yr            731 non-null int64\n",
      "mnth          731 non-null int64\n",
      "holiday       731 non-null int64\n",
      "weekday       731 non-null int64\n",
      "workingday    731 non-null int64\n",
      "weathersit    731 non-null int64\n",
      "temp          731 non-null float64\n",
      "atemp         731 non-null float64\n",
      "hum           731 non-null float64\n",
      "windspeed     731 non-null float64\n",
      "casual        731 non-null int64\n",
      "registered    731 non-null int64\n",
      "cnt           731 non-null int64\n",
      "dtypes: float64(4), int64(11), object(1)\n",
      "memory usage: 91.5+ KB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "没有空项"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>2.496580</td>\n",
       "      <td>0.500684</td>\n",
       "      <td>6.519836</td>\n",
       "      <td>0.028728</td>\n",
       "      <td>2.997264</td>\n",
       "      <td>0.683995</td>\n",
       "      <td>1.395349</td>\n",
       "      <td>0.495385</td>\n",
       "      <td>0.474354</td>\n",
       "      <td>0.627894</td>\n",
       "      <td>0.190486</td>\n",
       "      <td>848.176471</td>\n",
       "      <td>3656.172367</td>\n",
       "      <td>4504.348837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>211.165812</td>\n",
       "      <td>1.110807</td>\n",
       "      <td>0.500342</td>\n",
       "      <td>3.451913</td>\n",
       "      <td>0.167155</td>\n",
       "      <td>2.004787</td>\n",
       "      <td>0.465233</td>\n",
       "      <td>0.544894</td>\n",
       "      <td>0.183051</td>\n",
       "      <td>0.162961</td>\n",
       "      <td>0.142429</td>\n",
       "      <td>0.077498</td>\n",
       "      <td>686.622488</td>\n",
       "      <td>1560.256377</td>\n",
       "      <td>1937.211452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.059130</td>\n",
       "      <td>0.079070</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022392</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>183.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.337083</td>\n",
       "      <td>0.337842</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.134950</td>\n",
       "      <td>315.500000</td>\n",
       "      <td>2497.000000</td>\n",
       "      <td>3152.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.498333</td>\n",
       "      <td>0.486733</td>\n",
       "      <td>0.626667</td>\n",
       "      <td>0.180975</td>\n",
       "      <td>713.000000</td>\n",
       "      <td>3662.000000</td>\n",
       "      <td>4548.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>548.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.655417</td>\n",
       "      <td>0.608602</td>\n",
       "      <td>0.730209</td>\n",
       "      <td>0.233214</td>\n",
       "      <td>1096.000000</td>\n",
       "      <td>4776.500000</td>\n",
       "      <td>5956.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.861667</td>\n",
       "      <td>0.840896</td>\n",
       "      <td>0.972500</td>\n",
       "      <td>0.507463</td>\n",
       "      <td>3410.000000</td>\n",
       "      <td>6946.000000</td>\n",
       "      <td>8714.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          instant      season          yr        mnth     holiday     weekday  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean   366.000000    2.496580    0.500684    6.519836    0.028728    2.997264   \n",
       "std    211.165812    1.110807    0.500342    3.451913    0.167155    2.004787   \n",
       "min      1.000000    1.000000    0.000000    1.000000    0.000000    0.000000   \n",
       "25%    183.500000    2.000000    0.000000    4.000000    0.000000    1.000000   \n",
       "50%    366.000000    3.000000    1.000000    7.000000    0.000000    3.000000   \n",
       "75%    548.500000    3.000000    1.000000   10.000000    0.000000    5.000000   \n",
       "max    731.000000    4.000000    1.000000   12.000000    1.000000    6.000000   \n",
       "\n",
       "       workingday  weathersit        temp       atemp         hum   windspeed  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean     0.683995    1.395349    0.495385    0.474354    0.627894    0.190486   \n",
       "std      0.465233    0.544894    0.183051    0.162961    0.142429    0.077498   \n",
       "min      0.000000    1.000000    0.059130    0.079070    0.000000    0.022392   \n",
       "25%      0.000000    1.000000    0.337083    0.337842    0.520000    0.134950   \n",
       "50%      1.000000    1.000000    0.498333    0.486733    0.626667    0.180975   \n",
       "75%      1.000000    2.000000    0.655417    0.608602    0.730209    0.233214   \n",
       "max      1.000000    3.000000    0.861667    0.840896    0.972500    0.507463   \n",
       "\n",
       "            casual   registered          cnt  \n",
       "count   731.000000   731.000000   731.000000  \n",
       "mean    848.176471  3656.172367  4504.348837  \n",
       "std     686.622488  1560.256377  1937.211452  \n",
       "min       2.000000    20.000000    22.000000  \n",
       "25%     315.500000  2497.000000  3152.000000  \n",
       "50%     713.000000  3662.000000  4548.000000  \n",
       "75%    1096.000000  4776.500000  5956.000000  \n",
       "max    3410.000000  6946.000000  8714.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "season属性的不同取值和出现的次数\n",
      "3    188\n",
      "2    184\n",
      "1    181\n",
      "4    178\n",
      "Name: season, dtype: int64\n",
      "\n",
      "mnth属性的不同取值和出现的次数\n",
      "12    62\n",
      "10    62\n",
      "8     62\n",
      "7     62\n",
      "5     62\n",
      "3     62\n",
      "1     62\n",
      "11    60\n",
      "9     60\n",
      "6     60\n",
      "4     60\n",
      "2     57\n",
      "Name: mnth, dtype: int64\n",
      "\n",
      "weathersit属性的不同取值和出现的次数\n",
      "1    463\n",
      "2    247\n",
      "3     21\n",
      "Name: weathersit, dtype: int64\n",
      "\n",
      "weekday属性的不同取值和出现的次数\n",
      "6    105\n",
      "1    105\n",
      "0    105\n",
      "5    104\n",
      "4    104\n",
      "3    104\n",
      "2    104\n",
      "Name: weekday, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "#对类别型特征，观察其取值范围及直方图\n",
    "categorical_features = ['season','mnth','weathersit','weekday']\n",
    "for col in categorical_features:\n",
    "    print('\\n%s属性的不同取值和出现的次数'%col)\n",
    "    print(train[col].value_counts())\n",
    "    train[col] = train[col].astype('object')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 每年的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/LordLuking/anaconda/envs/tensorflow/lib/python3.6/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x104077630>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sn.violinplot(data=train[['yr',\n",
    "                          'cnt']],\n",
    "              x=\"yr\",y=\"cnt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 一年中每天的骑车量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'dayly distribution of counts')]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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M5s2b+fe//03v3r3p3Lkzb731FkePHvX4eDnlTIJ5o2bNmm735bzf58+fL9TxiyIpKQmLxQLkH2dAQICjEvbChQt59oeEhLiclzPhZD9PQezXIb944MrzwhfX7dy5cwAuqyZd8dV1KyyTyeR2fU37Nff0egNMnTqV9u3bA3DkyBHmzJnD8OHDufHGGxk5cqSjMlhERERERK5Q4lBEREREREqEu8q/Dz74gD59+rBo0SJOnjxJgwYNuPPOOxk9ejSzZs3izTffdHvMG2+8kTp16pCdnc3y5csBWLZsGVlZWTRv3pzrrrvO4/j69u2LwWBg//79jkq+nJWL9nXeCmIwGDwa502rUoC7776btWvXMmnSJO69916qVq0KwOnTp5kzZw49e/Zk/fr1Xh0TKHTVVX73M2dyx10iyJXcVaWF5U171PwSUZ4+lp7wNCZ7PL44tz2h7ylfXTd3Cnp8fXm9wVYVO2/ePL799luGDh3q+HmQkZHBL7/8wsiRI3n55Zd9ek4RERERkaudEociIiIiIlIkVapUcSSHzpw543acqwqq2NhYpk2bBtjWHNu0aRM//vgjH374Ic8++yydO3fON/lhMBgcVYUrV650+r+9gtBTUVFRdOjQwXGMjIwMR+WiN8fKWd3l7fUoSHBwMPfccw8TJ05k48aNfP/99zzzzDOEhYWRmZnJv/71L6+PWVj2ajZXct5vV9Vu7pJOudexLKzw8HBHYvb06dNux2VkZHDx4kUARyK2uORM9ObHvt8X8dirAvN7rE6dOuVoreur61bcj6+3WrduzUsvvcTSpUuJiYnhvffeo0WLFgAsXLiQLVu2lEpcIiIiIiJlkRKHIiIiIiJSJAaDgZYtWwK4/QDearXy+++/59m+atUqwLa22/jx4x2Jjpxytip1VRHVp08fDAYDsbGxxMfHs337dkwmE/fee6/X98WehFy9ejUbN24kLS2NZs2a0bRpU4+PERkZ6Vinzt31uHTpEvv37/f4mIsXL+a9997jt99+c2wzGAw0bdqUp59+mtdeew2AY8eOlVhr0OPHj7s9l/1+16hRw6klq30txkuXLrmc99dff/kktoCAAKKjowGcrpmrOO2JaW8e48Kwv0byi+fQoUOOhJ0v4mnevDkAO3fudDtm7NixdOrUifHjxxf5upXU4+uJPXv28NFHHzFjxgyn7dWrV6dPnz58+eWXjja99vUnRUREREREiUMREREREfGBe+65B4AlS5a4XGtv6dKlnDx5Ms/21NRUwH2LxKNHj7Jw4ULH7aysrDxj7JWC2dnZvPHGG5jNZm677bZCVWx1796dkJAQ/vzzT+bMmQN4X7loMBjo0aMHAF9++aWjMiunuXPnkpGR4fEx58+fz6effsrnn3+e7zg/Pz+nNQsLsy6cp6xWKzNnzsyzPSkpiS+//BKA++67z2mfPYm4Y8eOPPMuXLjAzz//7PZ89vviaTtT+2OwdOlSDh48mGe/2Wzmww8/BKBhw4ZetbUtjJ49ewK2hJy7pNyUKVMAW+Vfx44di3zObt26AbBmzRoOHTqUZ/+BAwfYvn07AJ07dwaKdt2K8vgWlrvn+J9//smUKVP48MMPXVZPGo1Gx5zKlSv7PC4RERERkauVEociIiIiIlJkDz30EE2aNCE1NZWBAwc6Ks6ysrJYsGCBoyIut9atWwNw5MgRJkyY4GhlmJaWxuLFi3n44YedqpfS09NdHqdfv34AxMTEAFcqB70VEhJC9+7dAdi4cSP+/v706tXL6+OMGDGC6tWrc/r0aQYNGsS+ffsA2/2aPXs2U6dO9ep4AwYMAGwJoLfeesvRejI7O5v169czYcIEwJYosld9gS0BBbBv3z4yMzO9vh8F+fzzz/nggw8cj9sff/zBoEGDSExMpHr16gwdOtRp/K233grADz/8wLx58xxVazt27OCJJ57It5WlPbmze/duj9bie+SRR4iKiiIjI4OBAwfy888/O5KOBw8eZPjw4cTGxmI0Ghk/frz3d95L3bp1o02bNlitVkaPHs2iRYscj8mJEyd44YUX+PHHHwF45ZVXCA4OLvI577nnHpo2bUpWVhZDhw5lw4YNWCwWLBYLW7duZfTo0WRlZdGqVStuu+02oGjXrSiPb2HZn+Nnzpzh1KlTju3du3enSpUqZGZmMnLkSH7//XdHovDYsWOMGTOG1NRUQkJCuOOOO3wel4iIiIjI1cq/tAMQEREREZGrn8lk4sMPP2To0KEkJCTw+OOPU6lSJbKyssjMzKRWrVo0b948T8VRr169+Pbbb4mNjWX27Nl88sknhIWFkZKS4kgO9evXz1F1eOLECZfVQd26deONN94gNTWVKlWqOJIghZHzfJ07dy5U5WJ4eDjTp0/nqaeeIi4ujj59+hAWFkZ6ejpZWVk0a9aMkJAQtm3b5tHx7rnnHtavX8+iRYuYM2cOc+bMITQ0lPT0dEdy5tprr82ToG3Xrh0rV65kz549tG/fnpCQEDZu3Oio0iqK6OhowsPDmTZtGtOnTyckJISUlBTAtrbe9OnT81y7ESNGsGbNGk6ePMkbb7zBO++8g7+/P2lpaQQHBzN+/HheeeUVl+dr164dv/zyC3PmzGH+/Pl07NiR6dOnu40vNDSUjz/+mOHDh3Ps2DFGjx5NQEAAgYGBjjjt57zxxhuLfD0K4ufnxwcffMCIESOIi4tj3LhxvPbaawQHB5OcnAyAv78/zz33nNdVru4EBAQwbdo0hg4dSnx8PEOGDCE4OBiLxeKoeG3QoAFTp051PCeKct2K8vgWVps2bTAYDKSlpdGlSxdCQkL47LPPaNWqFe+//z6jR48mLi6OBx98EJPJhMlkclQ6BwQE8P777xf7+pYiIiIiIlcTVRyKiIiIiIhP1K9fn/nz5/PMM89w7bXXkp2dTXh4OA888ADz58+nWrVqeeaYTCY+++wzRo0aRaNGjTCZTKSnp1O7dm169uzJl19+yTvvvONoh/jTTz+5PHdISAh/+9vfALj33nsxmUyFvh/t27enUqVKwJVKxsJo1aoVixcvZuDAgdSvX5+MjAyqV6/OwIEDmTt3LkFBQV4d791332Xy5Ml06tSJqlWrkp6eTkhICG3btmXcuHEsWrQoTwLk0UcfZciQIdSoUQOLxUJAQACJiYmFvk85+fv788knnzBq1Chq1arleNweeeQRli5dSqtWrfLMiYyMZOHChQwcOJCoqCjAlqjq3bs3ixcvzjeB98Ybb9CtWzcqV65Mdna2yxawuTVu3JglS5bwwgsv0KJFC0wmE2azmcaNGzNo0CCWLFlC7969C38RvFSzZk2+/vprXn/9dW644QaCg4PJyMigfv36PPTQQyxYsIBhw4b59JxRUVEsWrSIF154gebNm2MwGLBarTRp0oSnn36aBQsWONbktCvsdSvK41tYLVq04O2336Zhw4b4+fkREBDgaE3auXNnFi9eTP/+/alfvz4Gg4Hs7Gzq16/PgAED+OGHH7jrrrt8HpOIiIiIyNXMYPWkx4uIiIiIiEgZlp6eTqdOnUhJSWHhwoU0b9680MfasWMHAwYMICIigvXr1zu1/hQREREREREpz1RxKCIiIiIiV72lS5eSkpJCs2bNipQ0BPjqq68A6NOnj5KGIiIiIiIiUqFojUMREREREbkqrVmzBoPBwKFDh/jPf/4DwJNPPlmoYy1YsIBq1aqxdu1alixZgr+/P4899pgvwxUREREREREp85Q4FBERERGRq9KSJUtYvny543bHjh0LvV7dpEmTOHv2rOP2yJEjHWu0iYiIiIiIiFQUalUqIiIiIiJXpdatW1OpUiUiIiLo378/H330EQaDoVDH6tChAwEBAdSuXZuXXnqJp59+2sfRioiIiIiIiJR9BqvVai3tICR/27dvB8DPz6+UIxEREREREREREREREZGSlJ2dDcANN9xQ7OdSxaGIiIiIiIiIiIiIiIiIaI3Dq4G90rBNmzalHImIiIiIiIiIiIiIiIiUpJ07d5bYuVRxKCIiIiIiIiIiIiIiIiJKHIqIiIiIiIiIiIiIiIiIEociIiIiIiIiIiIiIiIighKHIiIiIiIiIiIiIiIiIoIShyIiIiIiIiIiIiIiIiKCEociIiIiIiIiIiIiIiIighKHIiIiIiIiIiIiIiIiIoIShyIiIiIiIiIiIiIiIiKCEociIiIiIiIiIiIiIiIighKHIiIiIiIiIiIiIiIiIgL4l3YAIiIiIiIiIiIiIiIiUjRWq5XLly+TkpJCVlYWVqu1tEMSwGAwYDKZCAsLo1KlShgMhtIOKV9KHIqIiIiIiIiIiIiIiFzFzGYzCQkJZGRkYDQaCQgIwGhU08myIDs7m7S0NJKSkggMDKRevXr4+5fd9FzZjUxERERERERERERERETyZbVaSUhIIDMzk9q1axMWFqakYRljsVhISUnh5MmTJCQk0LBhwzJbeahnjoiIiIiIiIiIiIiIyFXq8uXLZGRkUKtWLcLDw5U0LIOMRiPh4eHUqlWLjIwMUlNTSzskt/TsERERERERERERERERuUqlpKRgNBoJCwsr7VCkAPZq0OTk5NIOxS0lDkVERERERERERERERK5SWVlZWtPwKmFffzIrK6u0Q3FLzyIREREREREREREREZGrlNVqVdLwKmI0GrFaraUdhlt6JomIiIiIiIiIiIiIiIiIEociIiIiIiIiIiIiIiIiosShiIiIiIiIiIiIiIiIiAD+pR2AiIiIiIiIiIiIlIL0ZEg6Yvt3eBQER5RuPCIiIlLqlDgUERERERERERGpSE7EwqYPIW4xWLJs24z+cH0v6DgaojqUbnwiIiJSatSqVEREREREREREpKLY9inM6gq7v7uSNASwmCFuEXxyF/w2vfTiExERkVKlxKGIiIiIiIiIiEhFsO8H+GEMWC35DLLCj+Ng9/wSC0tERETKDiUORUREREREREREyjuLBX563fPxP/0TLNnFF4+IiIiUSUocioiIiIiIiIiIlHeH18H5g56PTz4G+1cWXzwiIiJSJilxKCIiIiIiIiIiUt7Fb/B+zpEY38chIiIiZZoShyIiIiIiIiIiIuVd5uVCzLnk+zhERKTC++6774iOjqZFixZcuHDB7bhBgwYRHR3NxIkTWbhwIdHR0QwcOJAjR47w+OOP06pVKzp27MiLL75YgtGXf0ocioiIiIiIiIiIlHch1byfE1zV93GIiEiF16NHD4KDg8nKymLFihUux5w+fZrffvsNgD59+ji2X7x4kYEDB7Jlyxb8/f25cOECVapUKZG4KwolDkVERERERERERMq7pj0LMede38dRlpz5A/Z+D3GL4OTvYLWWdkQiIhVCaGgod911FwBLly51OWbJkiVYLBZatWpF48aNHdv37t1LamoqX331FTt27GD16tUMHjy4ROKuKPxLOwAREREREREREREpZpHNof4tnq9bWLst1L2heGMqLft+gJgpcGyL8/bIFnDTaGg9AAyG0olNRKSC6NevH0uWLCE2NpajR48SFRXltH/JkiWAc7Wh3YgRI2jXrh0AdevWLf5gKxhVHIqIiIiIiIiIiFQEPSdAQFjB40whcM+k4o+nNKx5G755NG/SEOD0Hlg8EpY+CxZLyccmIlKBdOzYkTp16mC1WvNUHcbFxbF//34CAgK455578sy9+eabSyrMCkmJQxERERERERERkYogsjk8sRgq1XQ/JqQaPLYA6rQrubhKSuw8WPdeweN2zIENE4s/HhGRCsxgMNC7d28gb7vS77//HoAuXboQERGRZ26DBg2KPb6KTIlDERERERERERGRiqJue3g2Fqo1ybuvWV/bvvrlsJLDkg1r3/V8fMxUyLhUfPGIiAj9+vXDYDBw6NAh9uzZA4DZbGbZsmUA9O3bN88ck8lEYGBgicZZ0ShxKCIiIiIiIiIiUpEEhoLVRSvOWi0hKLzk4ykJB3+Biwmej89Ihj0Lii8eEREhKiqK9u3bA1eqDmNiYjh79izVqlXj1ltvzTPHoDVoi50ShyIiIiIiIiIiIhWJ1QrJx/NuT08u+VhKyvHtJTNHRES80q9fPwBWrVoFwI8//ghAr1698Pf3L7W4KjIlDkVERERERERERCq5U48XAAAgAElEQVSS1HNgTs+7PaMcJw5d3d+CZGf6Pg4REXHSvXt3QkJCOHHiBHv27GHdunWA6zalUjKUOBQREREREREREalILh51vT39YsnGUZLCank/JzTS93GIiIiTkJAQunfvDsCkSZM4d+4c119/PU2bNi3lyCouJQ5FREREREREREQqkovHXG8vyValFgsc/hW2zoYts+DAasg2F9/5rr8PDH7ezWlxf/HEIiIiTuzVhTExMQD06dOnNMOp8NQgVkREREREREREpCJxlzgsiValVits+xQ2fgAXDjvvq1wXOo60/Wf0MslXkMq1oFlviFvo2fh6N0GtVr6NQUREXOrQoQNRUVEcPXoUf39/evXqVdohVWiqOBQRESkNaRds36pd/v9g+Uvw23S4lFjaUYmIiIiISEVQWhWHVissfRaWPZ83aQiQfAxWvQrzBxVP9WH3dyG8XsHjgqvAfdN8f34REXHJYDDQuXNnADp37ky1atVKOaKKTRWHIiIiJSkrHX7+J2z/Asxpzvt+eh1aPWT7YzYwtHTiExERERGR8s9t4rCY1zjc+AHsmFPwuL3fQ9W34M5/+vb8YZEweAV88zic2OF6TPXr4MG5UP1a355bRETyZW9Tam9bmlu/fv3o169fSYZUYaniUEREpKRkpcO8B2DzjLxJQ4DsTIidC1/cCxkpJR+fiIiIiIhUDKXRqtScARunej5+88fFUwEZXheG/QIdhuXdd+MIGPUb1Gzq+/OKiIhbmzZtIj4+nurVq9OlS5fSDqfCU8WhiIhISfnl/yB+fcHjTsTCirHQ56Pij0lERERERCoed4nDzEtgyfb9+oIAfy6Hy14sz5B1GfbMh/aDfR+LwQAhVfNuj6hfPPddRETy+O2330hNTeXMmTNMnjwZgEceeQSTyVTKkYkShyIiIiUhPRm2f+75+F3fwB3/tLXSEZHyLSsd9i6GuEWQcgr8g6Bue7hhkFpkiYiIiO+ZM+DSKff7M5Jta/z52qndJTPHU6nn827LvFx85xMREScbNmxg1qxZjtuNGzdm6NChpRiR2ClxKCIiUhL2fm/79q6nLGZb8vCWZ4svJhEpfQd+hkUj4fIZ5+1Hf4NN02zrnvaaAqbg0olPREREyp/kE/nvTy+mxGF2VsnM8VTahbzbMrVkhIhISWnevDkRERGYzWZuueUWXnvtNQIDA0s7LEGJQxERkZJx7kDJzBGRq8dfP8NXD9m+KODOrm9sLb0e+Rb81K5FREREfMBdm1K79IvFc97wqJKZ4ymXiUNVHIqIlJQePXrQo0eP0g5DXDCWdgAiIiIiIhVOZiosHJZ/0tDu4C+wZVbB40RERKR8yM6ytdE0ZxTP8ZOP578/I7l4ztu8Dxi9/CJUyweKJxaANBetSjO86BIjIiJSTqniUEREpCRUb+L9nGpa20yk3Noz3/WHVe5smQk3jgCjvvcnIiJSLlmtcGA1bJ0NB37635eLDFDvJugwBJr1AT8ffYx38Wj++9OLKXEYWtOWCPz9K8/GN+kG1RoXTyzgpuJQiUMRERF98iAiIlISmvWGgFDPxxtNtrXNRKR82j3fu/EXDsOJHcUTi4iIiJQucwbMHwTz7of9K3J0JLBCwkZYMAQ+72mrQvSFglqVFlfFIUC3t6F6dMHjwqNs6zwXp1QlDkVERFxR4lBERKQkBIZB+0Gej2/9EIRFFl88IlK6Uk6WzBwRkZKWlWarVrJYSjsSkauD1QqLR0HcovzHHd0M/30QzJlFP2fuxKExVyVjca1xCBBSFR7+L2BwP6bezTB4JVSuVXxxZJshw8X9VKtSERERtSoVEREpMV1fg1O74dDa/MfVaQ893i+RkESklPgFFmJOgO/jEBHxhfSLEDsPtn8GZ/fbtgVWtrUk7DAMIpuVbnwiZdmRGFsLc08c2wq//xduGFi0c+ZOHFZrAon7rtwujlalGZdg97e2v4XO7AOs7sf2mgLhdXwfQ07pSa63F3fFYXqyraIzsDIEVS7ec4mIiBSSEociIiIlxT8QHvkWfh5vW7skO8N5v9EEbR+Dbm9BQKXSiVFESkadtnB6t+fjDUa4plXxxSMiUlin9sC8/pBywnl7RjJs+xS2fQZ3vwk3P1068YmUdVtnezd+y2xo9yQY8qnYy4/VmjdxGNnMOXHoqhKvKLbOtv0N5GkL1MR9UOM638aQm6v1DQEyL/v+XNlm2LPAdh2ObbmyPepG6DAUmvfz3fqVIiIiPqBWpSIiIiXJPxC6vw09J+TdN/AH6PUfJQ1FKoIbvGhdDBDds3jbdZUF5gxIPgGXz9k+1BSRsu/CEZjTO2/S0IkVVr1qSyKKSF5//ezd+NO74dKZwp8v/WKuqjoD1Lg+1xgfVhyunwjLXvBu3cQzf/ju/O64Wy8yI8W350m7AF/0gkXDnZOGYGs/u3CY7edompsKSBERkVKgxKGIiEhpsJjzblPCUKTiqNMOmnTzbKzRBLc+X7zxlKaEzTB/MLxTFyZdDxMawZRWsH6S+w/1RKRsWPM2pJ71bOyq14qn/aHI1cxigcxCJKqKsgZh7mrD0EioVN15mzdJvvwc3wGr3/B+Xs7qx+JSEhWH2Wb4+lFI2Jj/uCMb4JvHwJLtu3OLiIgUgRKHIiIipcHVN1mzs0o+DhEpPffPsq1pmh+jP/SdAXVuKJmYSpLVCj/9Ez6929a+Kzvzyr6kBFg9Hj66CU7uKr0YRcS9y2chbqHn4zMvwa5vii8ekauR0QgBYd7PK8raeLkTh+F18h6vKInJnDZ/XLh5JVFx6C5xaMmydUHwhb2LbWtYeiJ+Pez93jfnvVpYrXBkI2yZZXuu/LkCzJkFzxMRkWKnxKGIiEhpcJU41DdMRSqWoHB4cil0fsn1/no3w6AfoeUDJRtXSfn13xDzn/zHXDoFc/tC0tGSiUlEPBe/3jnh74kDXrZkFKkIGnfxbnzN5rYqwcK6mOt3anhdCAx33uaL6mBzBsQtKtzccweK/0uVafl0Nci45H6fN7xdv7KitHS2WiF2HkzrAJ/1gOUvwor/B189DJObwdr3lEAUESllShyKiIiUBpeJQxftS0WkfAsIgdYDXO/r+g+I6lCy8ZSUS2dg3XuejU09C+veLd54RMR7hVmPy1dVTCLlSYehXo4fDAZD4c+Xp+IwKm/FoS9alV5OhOxCVu5ZsuDcwaLHkB93FYeQaw3IQspMhYRN3s2J3+C7aseyymqFVf+A70fBub/y7r+cCGvfhv8+WP6vhYhIGeZf2gG4k5GRwdy5c1m+fDmHDx/GbDZTu3Ztbr/9dgYPHkxkpPtvVx0+fJjp06ezadMmLly4QJUqVejYsSPDhw+nSZMmbudZLBa++eYbFixYwIEDBzAYDDRs2JC+ffvyyCOP4Ofn5/NziohIBaXEoYjYJR1xvT2/D7Sudjvm2D4U9NTuBXD3mxBcpfhiEhHvFKZVYmAR2iuKlFcNO0Oz3p61qazdFto8VrTzJR93vh1e19YFISdfVBwai/iRY+I+qNm06HG4k986yj5JHBbmGFbbGov+gUU/f1m1Yw5smlbwuENrYMVY6FVAdwoRkRKyfPly5s2bx759+7BYLNStW5eePXsyePBggoKCSjs8nyuTFYcpKSkMGDCACRMmEBcXR2ZmJkajkfj4eD7//HPuu+8+du1yvdbJrl276NevH99//z2JiYkEBQVx5swZlixZwv3338/PP7tujWK1Wnn++ef517/+xe7du7FarVgsFuLi4njzzTcZNGgQmZmuy+QLe04REanAXH2LV4lDkYopKcH19vKcODy4xrvx5jRI2Fw8sYhI4TS4FYwm7+Z425JRpCIwGKDvx9D03vzH1W4Hj3wHpiJ+OJmn4rBu3qS+LyoOK9UsWkvV4l7nMN+Kw8tFP35gZcDLylCDEQJCi37ussqSDesnej4+di6knCq+eEREPPTee+8xZswYtm3bRmZmJgaDgb/++ospU6bQv39/kpIK0YmjjCuTicPx48cTFxdH5cqVmTx5Mjt37iQ2NpYvv/yS+vXrk5SUxLPPPkt6errTvIsXL/LUU0+RmppKly5dWLduHdu2bePXX3+la9euZGRk8NJLL3H8+PE855w+fTorVqwgJCSEyZMns2PHDmJjY5k0aRKVKlVi8+bNvPde3nZKRTmniIhUYEociohdRUwcZhSiXaGrSm0RKT2hNaHZfZ6PN+XTmlmkojMFw0NfwsNfQaUaefd3GA6DV0Koi32eOrETljwDR7c4b7da81YQZ6UWfY1BoxHaPVH4+Yn7inb+guS7xqEP3nOYgmzVpN5odDv4BxT93GXVobXuO224YjHDznnFFo6IiCeWLFnCp59+ip+fH6+99pojb/TJJ59Qo0YN9u/fz7hx40o7TJ8rc4nDpKQkli9fDsCrr75Kz549MZlMGI1GOnTowAcffADAyZMn+fXXX53mzp07l/PnzxMVFcXUqVMd7UwjIyOZOnUqzZs3JzU1lRkzZjjNu3TpEp9+aluA+JVXXqFnz574+flhNBq55557ePdd25oqX3/9dZ4EYGHPKSIiFZxalYqI3YUK2Ko0KKIQc8ILHiMiJavLq56/nru+BsGFeO2LVBQGAzTtaWtHmlu1RoVPKJkzYfEomHmbrU2kNdt5/7ePw9p3wZBreR5ftCvtMNTz399BudqRnynuxGExr3EIhVi/cphvzltWnd7j/ZxThZgjIuIj2dnZTJtma688bNgwHnvsMQICbL+PO3XqxPTp0zEYDKxZs4YdO3aUZqg+V+YSh/Hx8WRn297EtGnTJs/+6OhoIiJsf2ycPHnSsd1qtfL1118DOD2AdiaTiaFDbb+wly9f7tR29IcffiAlJYWIiAj69u2b55x33303jRo1wmw2s2zZMp+cU0REKjglDkXEriJWHDa5y7vxpkpQr2PxxCIihVetMTy+EEKq5z/u9leg48iSiUnkapeVlndb7vainrJaYdHwgqu2Nk4Fv1xrEhamO0BuYdfAw/8tuP1mcBW4f5bztnMHwZxR9BjcKe5WpWBrP3uth+95ql0H2ZmQlV7w2KtVYf7e9WZNbBERH9u4cSNHjhzBaDTy5JNP5tnfsmVLOnXqBMDixYtLOrxiVeYSh2FhYY5/79y5M8/+hIQER8/Y+vXrO7YfOnSIxMREADp2dP2hwk033QTYKgxjY2Md2zdvtq2X0qFDB/z9XS/efPPNNwOwfv16n5xTREQqOCUORcSuIiYO2zwGfoGej2/9UN42aiJSNtS5AUZvgWrX5t1XrQkM+wVuH2urphKRgpldJI4Kmzj8cznELfLwvLmSdL6oOARo0AmG/ARhtfPuM/pDsz4wdDVceycE5qhOtGbDuQO+icGV1HzeZ2X4qOLQaIT+n0OTuwsee24/fPckTLoefnnTVila3oRHlcwcESl1f51OYcH2Y3y1JYE1f5whw5xd8KQyyJ43atq0KVWrVnU5xp432rBhQ4nFVRLKXOKwQYMGjoTgO++8w6pVqzCbzVitVnbt2sXo0aMBaNGiBbfeeqtj3sGDBwEwGAw0bNjQ5bGrVKniqFY8cODKmw/7vxs1apRvXAB//fWXT84pIiIVnMvE4dX5RkpEiiArHS6dcr2vPCcOK1WDO//p2diw2nDb2OKNR0SKplI119trt7ElFkXEc76sONwys/BxpPug4tAuspmtqjCnG0fCc3vgwS9s1csGA9S83nlMcbUrzc6CzHzWMcxvn7cCQ2HAN3DvFM/Gp52HXyfAf/uXv+rD6B4QEFbwuJxaPVQ8sYhIsVj/VyL9Z2zkrsm/8sJ3v/Pywt0M+nwrN7/zCxNX/Ula5tX1uZc3eaPjx4+TmppaEmGViDKXOPTz8+Pdd98lNDSUpKQknnnmGVq3bk3btm3p378/hw8f5oEHHuCzzz7Dz+9K//UzZ84AtkRdYKD7by/XrFnTaXzOf9vXJ8xv3oULF8jKyiryOUVEpALLNkOWizcT2WrDIlLh5PdBYHlOHAJ0HAVd/5H/mIj68MT3tlZnIlJ2ZZvhQnze7b5MPIhUFL5KHKZfhENrCx9Hho8qDsFWzXj2T+dtN42GyrWct9Vs6nz70LriaVda0HssX7UqtTMaocZ13s05tBZWverbOEpbYBi0e9zz8fVusn0BRUSuCnN/O8ITn25ha3zen7HnLmfywS8HeGT2b6SkXz2ffXmTNwIc3SnLA9d9OUtZu3btWLRoEYMGDeLYsWOYzWbMZlv7NovFgsViIS0tjcqVr7QrunTJ1kYgODg432MHBQUBcPnylTcB9n/nN9c+zz4+IiKiSOf0VnZ2Nn/++WfBA0VEpMwzZibTxMX2kyeOkRysn/UiFUnIyd9w14ApKyWRQ+X9/V/kfQR2b0rN7ZMISXReTN4cGMGhO7/Aet4K58v5dRC5ypkuHaeRi5braRdOkVDef46J+Fij9BRMuTdeOsX+vbux+gV4fBxTyjHc10cU7GT8fpKNvnn9Bl7YT4McPyOyTWEcOHUZTl85viE7g1qn4nGqR4udg3nvEi42uo8LTR8hO8h1mzhvBVw8jOu+YTYXTh/ljI9/doUd2YGLZq35smz/gkN1H/DZ/S4LDHUfJKrqWoLP7813nDmoKgmt/x9Z+h0i4rH09HTCwsJITy/5auVNh87z+uI9WAsYF5uQxJivY5n2cKsSiauoUlJsFegmk8ntdTUar9TmnT9/Pt8kY07Z2dmkpKR49XhlZ2c7FdMVpzJXcQiwbt06+vfvT2pqKu+//z5bt24lNjaWjz76iLp167Jw4UKeeOIJpwyuPbFoMuV5e+UkICDAabync+3zwPYAFfWcIiJScRmzXH+RxGC9ulo2iEjRmS6fdLvPL6NiVOpkVLmO5Abd8mz3y7ioNdFErhKmlKMutxt92e5PpIIwulrjEPBPK6CKwWLGlHKUgKQD+KWdw+IflP/4guLI8tE6f9gShzllVGni9DvemJlM1OqRhB1fm2euf0YS1fbNof6PjxOQdNAn8fhl5v8ey+iq6rOI/NPOej3HaMmi8uEVPo+lNFlNIRzrOo2UqK5ux6RVa0HCXZ+QFVqnBCMTkaKY8Wt8gUlDu5//SOTP0777HVOc7HkgT/NG5Sn/U+YqDuPi4hg9ejRGo5HvvvuO6Ohox7477riDtm3b0qdPH+Lj45kyZQpvvvkmcKWqz95G1J3MTNviwjkf7KCgINLS0vKda5+Xc25RzuktPz8/p2shIiJXsdOu30hcU6Ma1+hnvUjFctR9+y2jOZXoxg3B3/PqgqvWxbzroxmwcl2EBero56JImXfxV5ebA63p+ju2LMtKgz0LYed/4fwhMPyvnWLbx+H6XuBX+M8wpAgsrj9jalTVBA1dvJ4uJcKWj2H7F3A5xxI5UTdBaCRcOl2oMCIrBxHpq9fv4S+cboY0/NuVnw0WC8y5D87tyfcQprREGm54AUZscL+uqqes+Scgw4ONhPv6Z9eRwn1JtKY1kZrl8edoi0VweD18ca/z9pb9Ce43i0Yl9eWxrHRISgBrNoTVguCIkjmvSDE4cuQI4Nw5sSQcPnuZzS7ak+Zn4c5TjO/dopgi8h17p0mr1er2uhpy/LwKDQ31+Pr7+fkRERFB/fr1PY5n586dHo8tqjJXcThjxgyysrLo1auXyz8wqlatylNPPQXA4sWLHUm5SpUqARRY2mnfHxoa6tjmyVz7PoPBQEhISJHPKSIiZVB2FhzbDn/9BEc2+X5tC7sMN9++d9HiS0TKuaSE/PenJ5VMHKUtO9P19jP7SjYOESmc84ddb9cah2XXsW0wtS18PwqObICUE5B8DA7+AvMHwYd/g0S1CCxxViuY3VS7uVrn8OQumHEL/DrBOWkIcHRToZOGgG9fv6d3O9+OzPFh8cFfIH69Z8dJOQFbZhY9noLWOMwohkqYwj4W5flvRFdrWJuCS6bjxLmDsOwFmNAYPuwAH3WE9xvB149CfEzxn1+kHNlz3PvfF3tO+HAd3WLkSf4nLe3K7+3ylP8pc4nD33//HYC2bdu6HXPDDTcAtkq/EydOAFCrlm1B5QsXLuRbAXj6tO0Xdc5FK6+5xvaLyr7YZX7zqlWrhr+/f5HPKSIiZUhGCqx9D/7TEmZ3hXkPwGfdYWJTWP7/IPmEb8+X7uYNUnn+o1BEXCsocVjQB1vlRbab99Jn8l//RkTKiPNuqneyUsHs5osBUnpO7oI5vSHFfbtszh+Cz3q6TwpL8XDTphTImzhMPgFf9itacjCnynWdb/uqZbrVCqdyVRNekyNxuO0T7463/XPILuLfTWnnnW+H5lqPqji+QJpyqnDzIur5No6yxNXzPa0EvjT3x3KYfjNsnQ2ZOZLE1mz44wf4vCesedv23BWRApktFq/nZGV7P6c0eJM3MhgMVK9evUTiKgllLnF4/rztl7clnydczpafGRm29k6NGzd2zEtIcP0BzIULF7h40fbG59prr3Vst/87Pj7e7Tntpb728xT1nCIiUkZcOgOfdIO1b+f98CQj2db25+POcGq36/mFkaHEoYj8T+7EoSHXQucVJXHopi0biX+UbBwiUjjnD7nf5+59j5QOqxWWPuv8Ybk7qWfhx3HFH5Nckd/aehdzrSW64T9wuYB1Dz11TUvoONJ5m7svO3or5aRzos7gBzWuv3L7yEbvjnfpFCQdKVpMud9fhUc53/bk9eGtwiYOWz/s2zjKErOLlv3FXal+dAt892T+SXqAde/B5o+LNxaRcuKaysGFmFOy7VQLy5u8UZ06dRytTcuDMpc4tGdx8+vXunev7ZvH/v7+1KljWyg3KirK8e/ffvvN5bxNmzYBtj6/rVq1cmz/29/+BsC2bdscC17mtnHjRqexRT2niIiUAdlm+OphOBOX/7jLifDl/XDZ+wXtXVKrUhEB24eDl3J9iFQjV6v+ipI4dFc5oFalImWfJRsuxLvfr3alZcvxHXAi1vPx+1fm//iKb3lacZh5GX7/qujni6gPd46HwSshPHfFoY8Sh7mrDas3AVOOD4yzUr0/ZlErAlNzVRxGlEDiMPd7Pk9ce5ftepVXrp7vxd2mf/Ub7lvk57bmreJbvkSkHOnQoAq1w71LBPZtW6eYovEtey5o7969JCe7/r3oKm9UHpS5xOHtt98OwLJly1xmcjMzM5k9ezYAnTp1cuob26NHDwDmzJmTp+9sVlaWY17fvn0JDAx07LvzzjsJDAwkMTGRhQsX5jnnqlWrOHToECaTiQceeMBpX2HPKSIiZcCfy+H4ds/GXjoNW2b55rxuE4euv7wiIuVU7pZjQeFQpYHztgqTOHTzAU7y8ZJpWSUihZd8PP8PYfUaLlv2LvZyghX2LS3cuSwW2/rhe7+3tQZMOlrwnIou34rDHO8bjmwsWmLvuh4wciM8GwudnoOAShBU2XmMr5L++a1vCFCphvfHrFTEVnAFVRz6eo3DrDTvr2dEPeg9zbdxlDUl3ar0zB+er6cJttfY7u+KLx6RcsLfz8jjNzXweHydiGDubBZZ8MAyoEOHDtSoUQOz2cynn36aZ/+ePXvYsGEDAA8/XL4qxMtc4nDYsGFERESQnp7OE088wS+//OKoAty/fz9Dhgzhjz/+ICgoiOeff95p7pAhQwgPDyc+Pp4RI0Zw9KjtTenp06d57rnniIuLIyQkhKFDhzrNCw8PZ8iQIQD83//9H/Pnz8dsNmOxWFixYgUvv/wyAA8++KCjIrKo5xQRkTJgW95f+vna/rlvknvuEofu1vgSkfIpd5utiHoQXMV5W0VJHLprVQpqVypS1uXXphSKv3pEvFOY1pbezsk221r8TWtvWz/82yfg6wG29cS/fACObPI+hooiv8Rh8nG4fA5+eB6+frRo59m/AhJ+A2OOFumB4c5jfNWqNL/1DQGu7+Xd8ercAJVrFy2m3Gsc5l5H0NcVh7nblAZWhhb3AwbX4xvdDoNXQdg1rveXF67WwC3OKnVvkoZ2hwsxR6QCGtKpIZ2uLfhLHUEmI1MHtMXkV+bSUi75+fnx3HPPAfDxxx8zc+ZMx9J5mzZtYuTIkVitVm6//XZat25dmqH6nH9pB5BbZGQkM2bMYPTo0Zw+fZqRI0diMpkIDAzk0iXbL+6QkBAmTZpEdLRzK6eqVasyefJkRo4cyaZNm7jzzjupXLkyKSkpWK1WTCYTU6ZMoW7dunnOO3LkSOLi4li3bh2vvvoqb7zxBkajkbQ025u2jh07Mm5c3t7+RTmniIiUsmNbvRtvX0+jaqOinVetSkUE8q5vGFG/4iYO3bUqBTizF+p19N25Uk5B7Fw4sdO2tk7lWtCyPzS4FQxuPsATEffOHcx/v1qVli2mQqy9YwrxfKw5w5Yo3P+ji51WOPATHFwNvaZCu8e9j6W8y69VaeYl+OQuOF/Aa85TMVPghkFg/N+Ht7krDn3VqvR0rsRhZEvn2+2H/G8tOatnx+swLO82iwUOrYGjm22tJSvVsCUkqzV2fYyCKg7N6bb3Jn4++tj00mnn22HXwAOfwh2vw8wuzonMfrOhVX/fnLesc9mq9KLt8TQWQ1KhMAnh4mhbK1IOBfgbmf1ke15ZtJuFO467HBNVNZj/PNSWG+pXcbm/rLr//vvZuXMn3333HRMnTmTq1KmYTCZSU22ttq+77jr+/e9/l3KUvlfmEocAbdu25YcffuCLL75gzZo1HD16lKysLBo0aECnTp0YPHiwY23B3G655RaWLFnCjBkz2LhxI+fPn6dKlSp06NCBESNG0KxZM5fzAgICmDFjBt988w0LFy7kwIEDmM1moqOjue+++3jiiScICAjw6TlFRKSU5feNXrdzClhE3RNKHIoIuEkcRjhvqyiJw/wqDn21zqE5E1a+Ats/y/vzdsccqNkM+n4MtbQuuYhXCqw4VOKwTKl3k/ddN6Ju9Hzs8pfcJA1zsFpg6bO2Kq9Gt3kXizey0uHAz7ZKPaM/1AvZKTYAACAASURBVGptq1Yry18SKWi9P18lDcH2hcjD66BxF9vtwNytSouQOMw225aFiJ0HZ/c774ts7ny7xnVw+zhY+07Bx21yN7R60Hlb3CL4eTxcOOy8/ed/QuM7oOeEvAnE3O0ww+tgq/7LkbzMvJT3fVlhpZx0vh36vxZ9VRrYkog5E4e511ssz8wZLjZaITPF1sLf10KqeT8nuKrv4xApp4JMfkx6sA1/v6MJX205yu7jSWSZrdSsHEjvNnXoEl0D/6uk0jAng8HAm2++yc0338xXX33Fvn37SE9Pp0GDBnTv3p1hw4Y5LadXXpTJxCHYKvnGjBnDmDFjvJ7boEED3n33Xa/nGY1GBgwYwIABA0rsnCIiUopCa+b9I86TOUXl7tu7WuNQpGLJkzisl/eb7RUlcZjf+mi+SBxmm/9XAbMin/Pshc96wsAfoHabop/TU+YM2/pfu7+D5BPgZ4JabaD9INuH3CJl3flcH9YbTc5fBlDisGy5/j4IGQep5zwbX7UxNPQwuXfhiO2LGJ6wWmDd+75LHFqybUnCY9ts69Ml7rVVludulRvZAm59AVr08815fc0XX1L0RuIfVxKHuRM12Rm2eExB3h3zRKztd27u9zl28wfDg184/11121gwGG3JQ6vF9bzmfaHPdOf2qps+gpUvu4/l4GqYfScMXAaROb7Un5qrVWlwVQgItSWs7DIv+zBxmLvisNaVfxtzvfcr7PIV2Vm2L3JkXoKQ6rb3lWU5SQ7uK2zTkrxPHKYlwYkdttd/SDWo2x78A53HXHsXGPzA6sXf3U17eheHiFC/WiXG9Wha2mH4XM+ePenZs+L8TCiziUMREZFi16w3bJ7h+fgGt0Klgnu2F0gVhyICrhOHuT9AqTCJw3x+/p2OA6u1aB9+bZmZf9LQLjMFvhsIz2x3/mCyuMRvgPlDbK2wczoRa6uMvK479JtZPN+6F/GV3BWHkc3g5O9XbitxWLaYguC2cbDiJc/G3/Ga5y0Dd8zB43aTAEc2QOKfUCO64LH52flfWPMOXHSTqMrp9B6YPwjOHYDb/j975xkmRZW24bsnDxPIOSMZJIMBURSzmDABZjHr6rq7um763HXVdYO6rq5ZFHPErKCoKFmSkpPkzBCHmWFS9/fj0Dtdp+Kpqp4Z4NzX5SVdXWm6qyuc532e955g200GFT4SUYKQWLiYngWpGcZintJ9asLhlgXw8nDneMf10+Hlc+C6iVDnoJsrEhHfx9GXiOvfj29C0faqZVr0hYtfMt4LrJvuLBrGKdkFb46E22cLIamiFMqLjPNk14eMHEk4DDGiUr7O5zWt+rcsHKo+ExbthFlPw9xxxs+s6dEw6Hroc7koSqqNWDoOOSj4t/W2jt1rYcojsOBd4+8npzH0uwoG31l1H5XfHLoNFwVbXshvCZ3P8javRqPRHGYcet5QjUaj0WjCYsAYbBvSWzHw+nC2aysc+qwu1Wg0hyZWwuGR2uPQ6fxXsguKdgRYd1StSGT3Glj5pf/tua5/LXx9Pzx7khhclQcTE1kxAV69EMpcous0mpoiGjXHA7boZ3ythcPax6Ab4IRfuc935sPC5eWVTXPV98XPMolM/jt8eIs30TCRbx8UEZe1DT+tFIJQv53xdZC40lgMPrjZm+BWsAK+/ot5eoP2cNr9MPpt4/S9G80FRNOf8L5ve9bB0k/Ev+V7q7QsyKgDmVLMXGmIwmGhdK3PbVb1b1nUUxEOty+FZ06A7/9pFA0Bti2ET+6E1y4K928JEzvHodfrxsY54n5q3itm0b1ohxAUXzzd+Pmfdr9wZLoRSYHhj4XX51Kj0WgOMbRwqNFoNJojl8ad4ZQ/epu3x4XCoRgG2nGo0Wh2rob9UmxVvdZHrnDoFFUKwjEo9yPyyoZZYsBQhZ/e9LctJ8oPwEe3weN9xEDWlh/x5MzZNBemPhr+/mg0YVC42Tjwm5ph7l+mhcPaRyQCp94Ho9+1djR3OBmu+RyOvUVtvXbuIcdlAkRzrpgIkx/yv/yUR4TYVZuoTuGwTiPodJpxWpYkHJYq/H7XTYPti73P/9Pb9tf2xl0xFHgW7YD9CUVE+7e799KUmTdO/F++t4rfe2VIwmGYjkNZOMxLEA5TJOHQa1RpUQG8OkKch51Y8x28f33tO9bB/pzh5Z5v3xZ4/RJzHLHMjmXwxmVV6Rb128HVn0B+K/tl0uvAJS9D5zPc90Oj0WgOU7RwqNFoNJojmyG/FlWHckRMIv2uggufC69HhO5xqNEcuWz4Ad4YCU9IjpxICix63zyAe8QIhy6FE9//Ex7tJirn9yu6D+16LDkus0F9GScqy+Hty2H+ayjF+MWZ85K/AXmNJtnIMaX125kLILRwWHvpfDpkWfRwO+cRaDdYfX2J8Yuel2nuPo8d0x73vyzA1oWiJ1ptQhYO5d9TmAy83twDLojjcNH7atuvKIHlNjHiGXWgQQfjtERRcufP9r0Q7ShYKf5v1d8Qak44lB1tXotJZz7tLhrGWfGFiHatbQRxHM56RqRSeGHLj7D886rXTbvDpTb9WHuNhDt+DK9oWKPRaA5RtHCo0Wg0miObSET0PfjlInO0VkYu3DoLznsC0jLC26Z2HGo0RybzX4exZx7stSeJR7EofHoXTJB69RzYe2QUFXiJai4vhrkvwwvD1IQ9P70KnYpJ/DDrWVg1yf/yxQWwZkp4+6PRhIUsHDboYBaitHBYc5QfEMLMD8+L/mdbFhjfj0Zhn4Xw4LdQoedFavNn14cOQ/1ta+fPwuEWlK0Lg68jTOS4xYadkrOdo04RBZQycgGTXcGjFbI45gWnuO4m3Yyvty9NeOGjCCfuuLNzHCYzqtTU4zBBMDf1OPRwT1RZXuWg9MrsF9Tmrw4cexw6UFkO819V29acscbXO5Zaz9ftXH9FEBqNRnOYoYOaNRqNRqMB0Si9WU9j1XFqOjTpGu52opX21ataONRoDl9Wfwcf3+5eHb/iC0Q0V8KA2IG9UKdBMveu5vEaywUidvTNkXDjd976zjQ7Wn1/mvVUX8aOaKWIWg1K4Zbg69BowqKyAlZOFKJ4InVbmYWH6hYOo1GIVZr7hh1JlBXDlH8Jt7LsyGnRD066B7qcJXqiWYkUbvHRdnQ+C+q2hr0eizt6XQbp2f62FXePBUXl+lMdlEsOrEadYOMP6utp1AUKlpunp6RD/6vhjIesCyPlqFKvv9/yEnMEuxdSM+3fa9oDln1a9XpbguOwfnv1bcUdjCbh8GCxQ7IchxWl5m3mJghTpqhSD8+EBSvV+z/XRsdhpc+o0t1roXin2rY2zjG+3vyjzT75PP9pNBrNYYYWDjUajUajiSMPHJQVh78NpwfQ2jZwodFowmPywwqRWlIVfcluLRzKbFskeht1G+4+b+Mu0OY4WD/D+/r7Xa22P05snK3eY9EKOU5Oo6kpVk2CT35pLQ7Nfw0ya0A4LCuGhe8IoWzrAnG+zWkMPS8WcYyNOiZ/H2oLpYXw6oXi3GPF5nmi+OKMh6D1sdbz+L0nTU2DEc/BKxfYCwKJzHpGOP4GXg/dL4AUlVCskPq11WsTznrColx6/shvIfqtydOd6HkxjHheCIc/vSV+qylpQojrPRpyG9sva/r9ujgOYzHxPX73d3/x6i37279nchwuqfp3fnM4ahj8/LX3bfW9QvxfFtPj91gZOcbpKsJhtBJWfgXrp4vzUU5jcY/StIfZiZmRa3Q3mqJKPfz+yoq871ucA3uFKOml6Kq68BtV6qc3qrzM5vnW8+lnco1GowG0cKjRaDQaTRVydWFlqXgI9BNzZ4ddTCkcGXGEGs2RyPZlYiDJL0dCn0M/A0BzX/YmHAKc8Ct44xJv83Y8FVr0Ud8fO/ZuDGc9cpy2RlMTLPsM3r5SOPqsqDgAUx8xTku2cFiwEl6/WDhQEinaAbOeFo7fM/8Gx9yU3P2oLXx4q71omMjE34tzoxVeRD872h4PV46HN0dDqYfvft008V/nt+GSl707EP04zmRyGkOHk4OvJ0zk62F6tnDyFqxwXzY1Qxznw/4sRNgm3eC0v6htX3YcukWVTrrPf6/JJj2g9SDn9xPZvkw4iuMC83G3eRcOc5tBzxHi37ZRpXnG6V7FuQXvwtf3w16pp/Lkh6DtYOh/jXF6Yn9DsIgq9eA4zGnobd8SqSiBx3vD8b8Qx0kkor6OsPEbVZrrp59qwudeWS6K0KzQjkONRqMBdI9DjUaj0WiqsHpIUKnu9YKjcKijSjWaw5JNc9znceJIEA7LHM6Ndmxd4D5PnM6nw2l/dZ+vSQ/h0giTMOIS2594ZDmmNLWTogIYf6O9aGhHRYn/nnlu7NsC484zi4aJxCrhi3tEj79kEovB+lkw8xkhpCx4192tFTbbl8HSj73Pv+g96+lBB87bnQC9LlVbZsWEg8eXRydhk67ObjUvDBgTbh/zMJCjStMOCod21GkIXYfDsPvgriVw+gPBHGWZclSpwzG8fIJ/0RBg6L3O4lWDDsYo0/Ii4eCPxUTs5vIvvPWAzMiFka9XidLFkuMw28Zx6KXH4fQnYPz1ZtEwzrpp8PEdxmm5snAoR5V6cLzVbw9NurvPJ7NvI0z4LXx0u/ffmhWlhbDwPfH9z3wa1s3wtz67wjG3qNLcJtBuiNq24sIxwI5l9tsOUjih0Wg0hxHacajRaDQaTRyrh7SyYnP1aRC0cKjRHHmUlwRb/kgQDr308zEtoxgldfwvhPto32b7eU78TfixsM16BVs+kgIn3hPOvmg0QZj3iv+eXwf2Occj+mXy36DQ4TedyMTfQ48LzY6qMFj8oYhqTIxSBEjPgb6Xwyl/NPd+TAbzFMXRPTZiRxhRfVts+oc5sfRjIbS0O8Hb/MfdBu9dp74dgLYnwBAbx2VNIhctpmY4fx+nPwh9RoW3fZUepTOe9L+d0x+A7uc5z5OaBo07izjbOCsmwPzXYdtC++USycyDa78w9ju2cxyaehy6FDWtmw5f/tF9Hyqk+8A8yS0nFxh5eSaMRETE72c+j+EfXxPi+/G/UFuutBC+eVDEUsufT+Ouon9qz4uqpsViwrUaSRGfrywU2zoOPbiVB90Aa6d42+9IKvS/tuq1XX9D0FGlGo1GcxAtHGo0Go1GE8fSceijf4QTTnE/WjjUaA5P5EgqVY4E4dAPTg6MRGIx2LkKNsw2i4b128PuNVWvpz4m4g1b9IVWA8OJ8WrQHjoMhdWT1ZeNpMB5T0B7xap6Te0lFhPCyIZZwlmU2wS6niP6mNV2fnrL/7IH9oYvHJbsgYXvep+/bD8seFsMNofJ1Mdg0p+t3ysvElGpa6fBNZ8mv1/tFgUnthNBHaKV5f73ZfaL3oXDHiOEy/OHZ9W20XW4cJdXd+/Y/duFuLvmeyHAZDeAzmdC78uqBDvZBfX9P2D/NoeVhtTrMY7XqNI9672LNom0GwIn/FLEgnuhSQ+jcPjV/6k5YqOVQtBKRL6viv8uM2Xh0OU5cLpP4TSvufG1n6hSgL5XwqLxsG6qv/2Y/gQMusm767ZkN4w71/h9JLJjmRDyd64WjuPZL8CPb0BxgXg/rwX0uxIGXFd1b2zb49DFcQjQ7Tw4+lLR39aN0x8Q92Nx7Pobgo4q1Wg0moNo4VCj0Wg0mjh2jsMw0Y5DjebI46hTRPSXW58gO7RwaE3vkc7vV5SJAdrZL4jBLJkW/USl/XsJFehbF4hIQxCDlUN/C93PD76vQ34Dq79DaYC3QQc4/7+iX5jm8GDJR/DNA+ZeZV/8FrqdC2c8BHVb1sy+ecHOneaFZPQ5XDtVPVJ+xcRwhcMVE+1Fw0S2L4b3x8CVH4S3bSuiITllgg6cb1vsP+5PpcgiEoGz/i4KSb590FqEyGkiROPEY6X7BZBRx9/++SEWg8kPw5RHzN/Rz1/D138RfTj7XWVOKXAUDYGPbhOOuS5nhbOvpqhSm9/urjXW053IaSoEdBWadDO+Vj02y4thy0/QakDVNK+OQ6eo0qICWPGF2r7EkfvzycKhV8dbWgaMelOIdau+Ut+P/duEg9PN+Rln/E32omEi3z4gHNjysV64WUyf8RRcOg46DgvmOIxE4IKnRUuAXavtZoKz/2k+7zs5orVwqNFoNIDucajRaDQaTRWWjsOAEYMyWjisvVSUiQrwRe+Lni1FBTW9R5rDhYwc6HuF9/kzpZiwI0E4VB3szsiD3g7RbKWF8OqF8PlvrEVDEOLNNw/Yr2P7YnjnKuEmCkr7ITBccT1tB1evaLh3k3Blbp7vfK3S+GPm0+J4kkVDED34lnwIL5zqMPhZC0hJ9b+sF/eIKn7OjWGfT6c84n3en7+BTfPC3b5MfkjCc9Covk1z/S+rWmQTicDgO8zFJG2Og5unwt0roc/lxvc2zPK/f36Y+Hv47mH7a13Zfvj4FzDrOfVnj1gUPrlT3MeGgVfHYcTHcKIfh2fTHurLyKybZnztOarUwXG4a4347P0gJ1H4iSqNk5UPl78Lo972ty/bl3qbb+tCWDnR+3qd7uvKCuGt0bBxjv8eh5vnw4TfwztXOve4TUkz//4ry2HrIvtldFSpRqPRANpxqNFoNBpNFdURVXpAR5XWOkoLYdrjMPdlEVEYJyVdOI1OvFv0ANFogjD0XuGikPtfyaRmQJ/RohdfnCNBOFTpcRhJhRHP2kf+xWKi+t4tuqtsP+zy0K9t0p+hcTfocqb3fbRiwLVigM4qUi+7AbQeJCr/4+zbFGx7XojFRE+xmc/A+ulV09Oy4eiL4fg7RH8pO8qKxAB8yR4xeNlqYPX0cTuU2LXm4DXmJfd5CzfDm6PhlmnBRLpk0aQ7bPzB37LJcBz66UEdZt/q7cvUBah546Blv/D2QabXZbB4fPD1+HULxgkikMZFHFXkKOq+V1b1tWt9DMx+vuq96hQOf/4WZj7lbd4J90Ijh3OuHfu3wbJPoecI9WVlTI5Dm2eXRp2ACEpOeqfriR1NuqsvI7NuOgy+s+p18S7j+9l2UaVJKqKRhUO/jsM4kYh/gdXr8+e8V/yt346KAzDhd/aCd2WpENHTs43Td/4MH95i/xtOyxICcDweNVourlsdhorX+zbD3HHO57igUc0ajUZzmKCFQ41Go9Fo4uio0iOPogJ45XzYZlF1Gi2HRe/B8i9g1BtVD5yaw5OtC2Hxh2LwLS1LiDjdzoP0LPV1bV8GO1cKUabhUWIwJ6suXP0JPHWsUaBOJKcxXDwWCqVYsiNCOJQGjlLSravVc5rABU9Bp9Ps17V2Kqz8Mtz9m/qod+Gw/ADs3SicCPnNjUKFLAZ2PA0GXi/OL5vmGIXDvUkWDqNR+OQOmP+q+b2KEjF94btwycvmCLyiAvj+X6J3UWmCIJReR/Q1OvFu7z0oD1d2r4PP7z54LCoMrO9YKpYJK3YwTPpfXbuEw7aD7c8VdnQ4KbztW907uC7jUjwSlE6niZjjoM7VmnQcdjrD33JylG69NlX/bj3I+N62xSKGUhaKksEshf6LsUrYv9XfdsISDuXiD7vfbl4z6HyG8brlRr+r1Pcnu74oZqkIkAKzbobodZiSKsQoeV3/cxzmGKc7RZXWbydcl35ch7kuwqGfZ0K/59h6rb3Nt22xv/U7sfEHZ5f0gb1G4bBgFYw9o0oUtKLiAGTVM05bOw3qtoZJ98Gyz8XvzAntONRoNBpAC4cajUaj0VRh6TisRuFQxXGjCU40Cm9d7j7wV14k5rvpeyECaQ4vClbCx3cY3VYgnAnZv4WT7oFjbhbV3G4s+Rim/wc2zjZOb9EXjrsdug4XolIiec2hcRfhEulxoRggWTnJOM+RIBzKA//Xfw1rJsO3DxljrEa9IVxtTswZG/rusWGWcAvKvZYSKVglnKI/vSXcjHDQuXweHHOLOA7WfG9c5oRfQrsTxL/lwbN9m4T47OXY88M3f7UWDROpOADvXA3XTahySe1aDePOh70W/e7Ki4V7e9lnopdb3O1TnVSUwd4NYpA4r5k5dq86KFgFL5/t3pvMjrnjalY4jMVgww+w+lvhNsquB51Oh54Xif5UXnodygPqyRAOcxuL39ei973Nn5ohXGhh4UcwSHaRWEqqKEB5eXjVeciOZr1h60/W7wXp8VVaaB8R7YVB16svE4s5C4f12gixJi7KxSph8zxof6L//fTCgX1q8Y7g/7dSvNPfcjKycFi6z/5adPwd3oXDhh2hy9lq+1KwCt64JJhoCKLAZfsSqNMQpj9pfC8lXfyN6VkiBj0Rp6jS3MbQ+UxY/rn6/rhGlfoQrvwcN2nZokjOC1EXsc0vTtHEJXuqPqtYDN67xlk0jCOL7ysnivt6r/fTusehRqPRALrHoUaj0Wg0VVjFkjg9MPrB6eFIOw6rl9XfwIaZ3uYt2w8znnSfT3NosW2x6Ckmi4ZxSnaJ2LAv/+i8nlgMvrpP9FmRRUMQfVjeHwNvjjTGXmXmw50/wVUfiXjSeFW1HNN2JAiHcuFEbhMRK9air3G6FxfeOpvvMyhO1fZLPoanj4fZLxgH66PlQtR48VT44h7jNSA9B1oluGDyWxjXWbY/OWILCFfr9Ce8zVtZCpP/Jv5dXgKvX2ItGiZStANeu9gcB5dMdq8VsWf/6ghP9IP/DoS/t4O3r0zeMWFFtBLevty/aAjBRJegrP4OnhkCY08X3/vM/8K3D8JzJwkxath9UKeR8zpS0s3CZ7KO5aG/N/eFteOkeyDHZd9VqOvRqZOIV3dPEFr0hdHvImIkbeg9Go650f79IFF9m3/E4LLNa2481zkxYIz5vO+F4p3GYr9IqrEYIxIxuw6rI650/3Z1gdlv37z0HPd5vCBHlUYr7PsuthsMZz7svs6cJjDqLbNA5sS+LTDu3PD6vr4xEh7rIc5piUTL4dHuMOVRyKhjfM9NfD/udvX9SK9jjkxOkT4XP8WkfvrI9hktCkO8kKxzl5O7L/G6sXaqSAfxw5af1O6ltXCo0Wg0gBYONRqNRqOpwurBxe5B2S86qrT2MMdDv6lEfnrbObJIc2hRWS6cpF4GWmY8CUs+sn9/7ksw7d/u61n9rfF1x1MhLdM8nzyIcyQIh3J1fWqG+H+9tsbpXpxOYTvF49ido9dOg/eude8JNudF4+v2QyAto+p1WqYYXE0kWX0O57+q5mhY+ZUQ5ha+CztXeVtm/1Zvff3CYOUkeOo40UcscaAxVil6OL50lnCvxhQiQ33vy5fBhT+/wkFQlnwEr14I22wGZzfNgY9ug9MfhA4nW8/T5ngRy9xygHF6soTDRh3hivcgy6Uv3vG/gCG/CXfbrY8RcYUq9B4d7j7YsX8rthG5KWlw7uNC1LLDT1Rf+QFxr/TNX43TW/aHy9+Btic4L9//GjjrH+rbBdizzvg6vyWkSgFbrY8xvt7gM3ZXhcRzfLJp5/L5eiUtQ0S2J+JU+HjsLXDJOOEotKLL2XD9pIM9ERWY/JDo++qXNKk33r6N9ufWaDl8/ReY9Zxxetl+kVBiR7vBcNpf7d+3Irep2b0pH6vVEVXavA+cdr/3+XuPVFu/V5xiQxPv0X96Mznbt0JHlWo0Go+sWbOGXr16MWbMmJrelaSghUONRqPRaOJYRpWG7Th0Eg6TFAGjsWbTPLX5y4ugYHly9kVT/Sz/HHav8T7/jP9aT68sh+98DnRummvuZwjWjkOngatDnVjMfP6ND6LVl4VDaXDYijAdRYnYuYsm3edvkK/DUIttSHGlyepzuH6G4gIxWD9LPQZ2zkvJF+s2zRMOPzfB+Lu/w6xnkrsvAPNc4l+9oCpGhcGu1fD+De69nyoOwBd3i3jlROq2hltmwHVfQNvjvPdJC4PWg2DEc/bv128Ppz8QfuxvSoqIIfZKgw7O/VnDorJC9Oy1I1oBBStEL1bbdSg4bmIxEf/4aDf44Eazk2/bYnEdu/pjuOx1aNrT+H5OY7huohAzZQHFK04xpXFk4XD9DFEIkcxzVH5L8fclm7Rs6DMqvPXJrkO332+PC+D2OUIUS2T0uzDqTfO13I2S3bDgXbVlZPzEm05/3DzN7doy+A648DnI99jXN6+5eZqpx2EIUaXyd5FIgw6iwEOlx2eHU6BRF/X9csPp+bckQTjc7eH+LywqDrjPo9Fojnj279/Pr3/9a0pLA6Q01HK0cKjRaDQaTRyr6sKyauxxqB2H1Yufh8IKHV1z2DD/dbX5N8wS/RBlVkyAwi3+9mHPOnjtIvN5Jqsuhoi5WNQYcXqoUbASpv5bRL5OfhjWTDEO1FoNGsVju+TBXy8DR93O9b+vdtRrC22ONU/f8pN1PK0Xlnws+l8lYupz6DCwHwQ/MdxlhQcjCBXYu0HEzSWTr+/3fj7/5kHn63AYFKwIvo4+lwdfhyo/PO/umo1Tug8WjzdOaz0Imnavel2dwiHATovzc5zda6DIQ18sPwy6QfSvdSMzX7iyUlKTsx9lRULYf2YI/LUhLJVc8ulSBOO2xc6OZq/HQiwGX/wWvvyDiPe2YvcaeOE0IU53Gw5n/s34fn4L6/OrCl6Ew3qtRYRpnNJCeKI/PHWsOP6DxLPakZIK/a4Kf70yJ/7aXHQUBPn3W7TDfZlIxPj5grpgGGfN98H7GvpF/hvc4koBel8moufl1AAr8iwEvVCiSqVzbI8RcMt0EafaXIr/jUXNcalupKTAJS+bj40gNO/r7LBP/JuS1e/ZimTfJ2g0mkOePXv2cOONN7J4sUMri8MALRxqNBqNRhPH0nFYncKhjkWpVqwqfl2Xcaje1Rxa+OmZY7XMprnB9mPbQpj3inFaSurhEVe6Yzm8cj48OUC48qY/IXqmjRsO/z0Gln8h5rM698X7IPmJKu1/LURCfsw55ibrAf81U/yvc/100fcysSChruRYSJbj0I8rM7MettGHTrx4Ksx4Kjmu+p0/myOAnSgrhAXvhL8fYZLXArqfX73brKyAHxWLKeS+kfJvNUs63ihklAAAIABJREFUhyVbOHTrV7c2wG/ViZRUMZjeuKvzfBe9AM17JWcfdv4MTw+GT++CrQus55H3b9si5/OL16i+Re/DD8+6z1dcIOLBo5WQIbmcwhikdxMOd/4ML55u7ajdsQw+/43op5eMa+2gG72LevU7mKelWkSaJ3LsreHF8JYVi15/srv/9Uth4h+sUxISMaUHKPQ0TMRvf1yrz08V+RjxWmiTmmZ2DlpRVGBufSB/TmE4DrPqQtMecMaDcMX7GArSdq8VvwlVmnYX7uBmIZzLUjPg1Puc50mMKm3aI/g2vaJ7HGo0Ggfmz5/PiBEjmDs34DjAIYAWDjUajUajiWP1kODHleGEdhzWHnqOUJu/RT8R7aM5grGodg7DoTDnRXNUmjzI6HcQrabYPF84TFZPtn6/YDm8OQrmjrM+96bYRZWud4+Va9AeTvmTt/2UnQVWdD4LBt1k/V7QAe9102DeuKrXJsdhkoTDroquzIxcEbHox2mwbxNM/B28fWX4ru0131fPMio0PMr/suk5cNlrkJ7lPm+YFG1XF/ZkF44cr1qdjsNYzNyvrqHUTy2Z33skxexolN0x25cmZ9v7t8O489yjtzdL8ezbFgtHsB1eBs5jMZj+H/f54hQsh1Vfm2Mwky0cHtgLr41wj7reMEucp8KOBs9rBqPehkyX82fd1nChFKecli1cYwOuE+eHRDqeCpe/JxycYbixigpg7Bmi15/8/ZcXiX7Pz54I25bYr0MWnFN99nhUdcMBtBwIPS70tz0nVI5PL07dtVNEQVWig18uTPLzTFgi9exOLEDLaQgt+xnfX/WV+jYAmnSDm76Hnhf7Wx6qrnVuAmTi39T3Sv/bU6U63Y0ajeaQYf/+/dx9992MGjWKTZs20bZtWwYOHFjTu5VUtHCo0Wg0Gg2ICmirKuTykGNydI/D2kO/qyBNYXB20I3hbDcahZWTxODUEwPgP32FK+unt6Bc99SoNhr76NPSqKN5Wl6z4PtSsMIsEFn1OTxUKCsSomCpm1AQg09/aR7QTkmvGrTJa2Gs4K8oEQPlbpxwFwy7D0uxN06Xs+G6CeZ+W3EiKeJ3f+kr9n236jR03xc3fni+Sgw19ThMUlRp9/OhjoLrsPdIyK4ros/8svwzEVcbJl4i5MJYRgW/MaMNO4r+gK36h7s/1YUs8lencLh3ozEyOpICg+80zpNM4XDDD8JRFyc1EwbfZZxn2r/ho9vE7z3Mz+K7f/iLNN401+jmkfEi8m9fIuKaVZj/qlkUkt1XfnASDme/KBxWXlg7BVZNCr4/Mm2OgRu+sRZbIikwYIx4X062SM8S9x7DH4O7V8HN0+DGyfCbVcJFFlbPzGglvDXa3rEaZ/9WEbFetNP6fZPj0Kdw2PZ4b4U9iXQ/F3b5cNG5oXLN8FocU7hF3PvHI/BNUaUhOQ4T6SgdK3PGimePfZvVtxWJQFa++3xW9B4Jt/8Anc9wF1oT/6ZmPaHT6f62qYp+JtdoghOLiXuN2S/CzKdF7+Wwi/KrmQ0bNvDxxx8DcNlllzF+/HhatfLY3/YQRQuHGo1Go9GA/QNamFGl0ajoC2T7vnYcViu5TWD4v73N2+1c6HVZ8G3u2QDPD4XXL4KlH4ueTLtWC1fWBzfBf/rAepe4NU04qFYutxti7Tjtfj6O4pRX5F53h7JwuPA9730fY1H44UXjtMTIrtQ0swvPS1xpJAJDfgW9RxmnZ+TC0ZfAtRNg5BuiL9vNU+Gaz8yOqWH3wdn/hDSHgc9OpxH4+y9YXjV4mC89fCbLcZieBec9gad9r98Ohv5O/HvQDd6WsWPOWG/Cr1eyG/hYJsQ+YDKxGOQ2UxNl4wz9HTTvHf4+eSGnMWSoOnyk46AmHYdyTGnTntD5TOO0natg2efmc61f9qwX/TWfHAivXmB876ih0P5E47SS3TD/NRGJ+UhX+PqvwQenSwvFwL8fnERD8OY49BN1uGu1WTisKPEnlMSJxeyFw2gU5ryktr7ZL/jfFycadYQLnrKY3gWGPyruS+UCsrTsqn9n1BHiSYu+kNs43H1b/oV73G+cws32n1FYUaX5LaDLWd7nT82EPlf425aM3A9UZaBbpX/6gT0i/hUsokpD6HEon4ObdDO+Llghnj0e6ymKGa36eDvhVwDoc3lVLLvb5yWfpy581r7YK0yS0e9UozmSWPaZcKg/fwp89iuYcC+8e7W4/5nw+0O2j2gkEuGUU05h/Pjx3H///eTm5rovdIijhUONRqPRaMB+gCTMqqjyIhz7Q2nhsPrpMwpGPO88YNprJFw0FlIC3jbt3w4vn+1cnV+4RQxAbppnP48mHDqdBo27uc8X5/g7rKfXb6c2uGWHPMBzKAuH819Vm3/FBONreQDNFFfqEjeXiOwyOecR0Wus7XFVrsZIBNqdYK5k9zIA2KB9OI6PuFtJdhzu2+wezeqXrmeL3mxy/F0iTY+Gqz+t6onYtAec8gf/24yWq/fSc6LjMG89pRKRBaWwWPwhPDsExp5mdJ95Zeeq8PfJK6np0Fu1OCbhuIykmkVv+ZxWUZK8wVg5prT1McINLBcdvDUK/tUZPrpdfZA8TiwGU/8Nj/eBKY+IwXf5XLFrLbx3nf06yothyr/gg5uDxWKunyn6diYDL8Khrzi/CKRnm/vQBhlELN5pLPSLpFZ993s3wF4PxSaJrJvmf1/csBKuyxOeNeSCxfRsqoU5Y9Xmn/uSWfi2Sm/x6zgEOOWP5n6Ydpx0t4jjbNTZ//biyP0xvR6b0ah6b8KVX4r7FPk6FrbjcNM8+NjmPjZWKYoZnx8GG+d4357sFLZziMp/W2Kaj9s1Qf6b6jSAaz83F2bE8Xq8uKF7HGo0/pn+pL2DvXQfzPwvvHT2ofVse5CuXbvy9NNP071795relWpDC4cajUaj0UD1OA7dHjyDVFtr/NPrUvjVEvvIwW7nOjuOvPLV/3lzSpUXw4e3Jk8s0AhSUmHk65Db1H3eob+Hzg7xSGf/E/Ka+9+XJj1EdX0iJuHQxR1Sm9ixQm1+eaBNjuyqJwmHXiPnYjHYtsg4rdnR9vPnNjG+3r/N23bOeMhf779E4g6H3GbGAfWKA2JQPFn0uAB+udB6EK5xFxGJV6+1cfqQ38DpD5i/J69snu9vOSvymkG387zPn9tUbX6vfPcPUUm9daG3+es0gq7nGKcVKP5uwmbQTd5F2NRM4+u6rcxxvulZ5vnCcvvJyE6pFv3E92Hl2K0oEcUNz54oYsNVmfY4TLrPOt4+TsFyKPHQl3bhO0KA8UsyrwteBs7lPpJeaNRRCI6y6zBIhLBcTJLfsup49FMAWFaUvHswK+dt4vOBLEJXl3Do1W0Yp3CL+Z7W6jkmiHDYpBuMesu9N+Rxt4vrEkCf0QRyxddvbz6uvR5DvsSmGKyYaD73huk4LN4Fb1zmHh9fuhfeuNQ+hlZGLlo493HRX/qoYdD6WBEHf/5/oe1g43yJz9ZuBVpW57isutC4q3Fa62Phyg9EooQf5AIq/Uyu0fhj5ST40kOB4dYFMD6kNjCapKKFQ41Go9FowMFxmEThMFPuDRELVnmu8U9Wvv1D+tqpwde/fwcset/7/DuWij47muTS8Ci4fpL94GdeCzj/KRj6W+f11G0F134h3Fl+GDjG7Nw4lB2HTs5qL8iOQ1k49CLAgxhMToyHTs1wdiPkyMKhx0jNRp3gqo/8i8fZ9asGwVLTzOtJVp/DODkNoYlF5WzJHuvejpEIHP8LGPGcv+157QHllVP/7DEaNALnPBpOIUgiiz+Abx/0Nm+jzjDiBVGs0u9q43s1LRw27uwtvjYlDQZeb5wmx5TGSWZcaUUpLHgX3roctvxofO/nr4WDxonyYnj7Cti6yHm+RHavFfGkYTLzKf8ild8eY1bkSNGXXkSQJl2h1UC17fS7SvxfvgcO4jh06m+Y4yM2uE5Dn25KD1hFxJYWVh0Dcm91lV7cQfBTKCnvq9Uxo+oIl2k/BG6dLnqWJkZTR1Kgyzni2nvGg1XfV4P2ByPkfZDfSvSNzJbOW15Fbbd+fXYU70puVOm8V6DI4/1M8U7vxQyyoFq3JZz4G7hyPIyZCKPehL5XmIsEHB2H0u/OLlJ5s3TOH3AdHHWKc3GYHf2uhsvfNU7TjkONxh9THvE+78ov1fska6odLRxqNBqNRgP2DwjlIUaVyoMi2fXM8+i40pqhstx+QDMM4XDFF+oPoYs/DL5djTv12tiLSVe8D30v97aeBu3hpu/FAJYKLfuLgRWZQ1k4tBMRbJEeSWQnm9+oUtn91aSbc78l2XFYtMPbdkD0nLp9Npx0r/dl4vS9Qriz4sjxisnqc5iIHDkGwnHp5BDzKwLJ7tqg1G8LV38CdVvbz5OaKWKpuw0Pd9uxGHz/L+/zF6wUfTXTMqFhR+N7O3+u+eKhPqNF709ZrI+T3UC4OuTzk/wbjZMs4XDZZ/BYDxh/PSz71Pz+ove8raeiBL77u/ftznnJ2Wnoh52rzFGrXmk9yNgDLwj12xtfe42VtYvxtqLp0dB+qPi3LCYkSzjMbaIuboZ9nkjESgiJVlR93rIYV12OQ7lwxtMystgsubRSM8IRYOu2gtPuh9+sgDt+hNtmw2/Xwqg3oMNQ8/znPq4mIGXmC8f1jd+KgjI57tLq+miF36KYzFzzfY+q4y1aaXYUZh18zpz7stq65o7zVswgfy52MaHyMezkOJSFfqtrRmWF+f6uRR/x/6MvNveodCK7AZz1D3MRhhYONRp1dqyA9dPVlpk7Ljn7ogkNLRxqNBqNRgMOwmGJ9XQ/lEoDsPLAG2jhsKZwEmW2LRLVwEHw6lwyLOMxJlETnM02PSVVo9NSUqydW3a0PgZGvytEBJlDWTi0EkKdaCfFWLk5Dnf7FA7dBhL9RpXGycwT0cYq5DSGY28zTpP7HO6tBuHQrk/artX2y+zd4G9bR1/sbzknmnaH22ZBuyHm95r3hjvmQy+fEWZObJprjsN1JCbcHyCO68QYv/Li6hGJ3eh6thicb9rD/F6LviLWds9a43TPjsMQojUXjRcuQxVh34mln8C2xR7ndXEx+sVr/LJMdn2135NdDzKABh2Mr70KF93PgxPucp8vrzlc9mpVv2iTOJMk4RBg4A1q65MdtWFiJ57H//6aiirtrhjh3HYw5Lq4VIPElFqRmi6KtBp3do4Hz64H13wOfa80xyWDEAqPvgwuHgtXfgi/Wgpn/6PqHkA+NpPtOGx3gojPT0T1eVB+xoykiL+jrAh2r1Fb19713s7V8udiKxxKQp6T4zC3mfF16T5zL82C5aLoI3G78UKcrLowSCH+8PjbrWO1tXCo0ahj1dPQdRmPEf+aGkMLhxqNRqPRQM1ElWZZOQ51T4UawbGHWAzWKVbPyfgZ+KmuwaIjnX1bRK8eK/y4Y8qlQb+mPaDr8IRq8ogYcLt4rBjYyrHprXkoC4e9RxojxdzocaHxtUk4lAaB9240DyRZIT+MukXJmqJKfQgTbv16DNtrLFyt+VI0ad1Wxtf7khxVCvaOil0/2y/jNTI2kWZHQ5vj1JfzQkaORQQ4wkkli7Fh4SdiKX5cpqZBg6OM79V0XGmclBRr10ZcJJXF++qKKt2/HT66jcBxyAZiot/h+BvF9cCJooIQt5tAJMCwzEn3eIzqBU68296NYxIOFQbOh90Hpz9k82ZE9Dq7fpIQfeJUl+MQhLja8TRv6zr+F/7iDr1iKxweFH5qKqp0wBiUegNaiasm4dBnH9wwyMqH8588KAr+S/RBHHwnXPgs/Ho5XPQc9LwIjjpZOP4SkV97FQ69unQTadlfFGSYokoVnwfl4yozX5zH/fbqq/QgXMqfi/y5xXEUDqV7pjoNzOdD+W+TY0qb9TIKr6f8Sdx3u9FrJAw+WPQgf/5aONRo1PHybGZaRo991XYCBo5rNBqNRnOYUBNRpVn5ovdHYlWpnxsuTXAchUNg1ddi4CvF5+CeakyW32U06myeb/+en0HuCmnQL685jHxd/LbL9osBFC+DaYeycJhVFy59BV6/2F1IO/UvVf394siRXblNRTV4vJo/Wi7EXllgk1F1HMqxa+VFQlCzGwyzQv5781uKIpHtCY6m7AbQ70o49lbIk6rrQfRZSqRaHIc217qdDo5DVeEwsy5c+FzyeoeBtciazN+On5SAxPuNRh1FT9s4O1dBx2HB9ysMrAbB928T4p0sHNZrZ72OsIXDea/468XmRrQCFrwtosmv+dQsosVJr2N29oRB4y7+l63XRsTHvn6xs0v6uNvhpN+KnpwFy83vywKVysB5JGL+GzLzhFDZ/QLrKNvqFA5TUsU16YMbhcPUjuPvENekZOLmODRFlSrELgahSVcYei9M/pv7vN3OFd+rjFVUaU2T0xAGKTpOfUeVKgqHkdSq480UVap4bbHrb5iZL/5TOW+l51in4iQSi4UUVSqdZ9LriH1PvG4f2CMExTjyfXuLvsbXqWlwyTiY/h+Y9Szs32p8v25rOO42EU8bf66Tj1W/gqtGcyRTz6FlgB1ObQY0tQItHGo0Go1GA/YPCNEK8VCTFsLDrzwokmklHOqo0hrBLYp07lgxqNjzQhGB07y32vpbDYSmPb1H2qXXgV6XqW1D4w+7mFLwF6tn5xZISXWO1kokFoM9kgCy62f4/p/Q72pzpGZtpP0QuOYzeOdqazEnt6lwqfS9HFZPNr6XKj2ipKSIgeCdK6um7V7nLBwW7zJHaTbr6bzP6VniO0ocgCvariYcyo7T/JYw5ksR+VlUABl1RE9Nq3jaOLI7rjriK+0cFSqOw1aDYKNNr7Z6bUXvvKYKUb5+2LfZPC2ZwqHcj9ILicet3F+1tjgOwV442jzf/JuuLsfhgneCLe/Gvk3wxki4ZZp1gUfb44TwFibN+wR3uDXvBbfOhJfOhB0JomAkBbqdd/C+pRe8OdJaNASY9H/G16qOG/m33+kM4fCyIyzhMBZzFw5BnHsvfRXWz4Tv/wE/f5OwL/kw5ishniWbEpv7ivg5WC4+Sq8mxyEIYTklDb59yL6XZ+/RcO6/rQvpkh1VWl2Yoko9FpGqRJWmZgj3Y/uD8dphOw7j596UFOG4nTPW+7qOvsh8HyZTccB8jHiNKi1z6HGYliGKrRKv2/JvZovkOIz3N0wkNQ2G/Eo4iFd9Le7BIhFo1Ak6nGyOhjUJh9pxqNEo0/oYcf1VKSzsPTJ5+6MJBR1VqtFoNBoNOD8ghOU6tBMOE9HCYc0gOw6tBjvKi2D+ayLSbPLDYrDKK5EInPJH7/Mff4fo0aJJPpuchEM/UaXyoJ9i5GxpIbw1Gt6/1jg9WgHfPACP9VQbAKpJWg2w7r9VtzXctViIhmCurLf6/cmOFbeHUlmkr9fWm3AbNK7UatA3EoGGR0GbY4RA4CQaglmMqg7Hod2g/U4b4bCiFAqlKv7L34Ebv4MB15kHCs94yF24DUpFqXXfO7uB+jDoeKq7M0MmsSjEJByupNZg555Z/gXEolWvM3KNbpBEwhQOSwv99wJUoWA5LPvM+r0BY8Lf3uA7w3Hh1mmAKWpy1Ntw6ThoPUhcV1ZO9L4+1YHzDZJw2HqQ8/xhCYfFO40OpkiqvaAfiQjx95xHjNNTUoOLhtEorPgS3hwF/zgKHmoJ/+kLX99vvF65Og5lIaUaY+sjETjxN3DnjzDk15DXwvh+i35w4dP217DaFFUaBFNUqcdjU3bP1WsrotgTn/XSc6D/tXDzVOg5omp60B6H8nUu8Rli4A1qcciFW4WwHo3azyOLqakZ9kW2jo5D+XjPcr5uVFaY0yRkx6Fhv9Khy5lw3K1w7C3imi1/1vH5EtHCoUajTkqqcPJ6pX47UWSkqdVo4VCj0Wg0GnARDkvs31PB1H8iL/iDoiYcZOHQ7YFx8t9g+hNq2+hyluiz4tZDpt9Voupbk3xisSRElVoMgnhetky4XZZ/bj9PZSl8ehfMeUl932qCHcvM09KyjIM08u9NjuwCs4NkzzrzPIlslYRDr44e2c1ZtN3bcnFkscVPfyrZSVm4Ofkx1qqOw70bMfSZy8wXLoEWfWD4Y9D9fOP825eSdOx6lSbTcZieJYRSrzTtCe1OqHrdsJPx/dokHNpdB+XzU/129sJXGMJhZTl8dR880k3N0ROEeeOsp7c7QQw8eyFiMTgtc8KvjOJBEKJR2LXGOK1JN/H/H9+ANd+rrU8WQdy2vWmucZpb3LosHHrtIycjXwvyW7q7peQe4wf2OoskbhTthJfPhjcuEb+P4gLx9+xaDVMeEQLirGertmXF/4RDKYq3Jvpd12sDw/4PRr1pnL57rXPRXG2MKvVDRo7xtV/HYXY9uORluGeNcATfNhvu+Vk4NuVo32RFlYJw+p/+oPd1rfwSXr0Qnj7e6GBORBb65c8sEZNwmNjjUL5nyjQXTiamf+xYZrzPzsgz9wr2gyyGx6Lq34FGo4FjbvYmBmbkivOj2/VaU+No4VCj0Wg0GnDuZVAWUj8dk+Mwz+JBUfdUqBHcokqt+OavInpQhUE3iPhGuYcZiB5uI16Ac//jv5eiRo0966DE4bv35TiUhEOVQb85Y2HdVG/zfvFb0WustrN9iXmaLEjIkVxWD5H1JMeh3GNNxtTfsJfz/HFk4dCpZ5gVdlG1KtRpZBxwjVYk/7u26+FUvNPasWcVDZgoHjXtYXzfa0xzEOycmWWFaiKIKifeDa2PdZ8vqy5c9ILxc2rU0ThP4eZgvd7CxM5xKP8m7GJKIbhwWFkunHLT/u3d9RMG2xZbT49E4OKXoNUxzsvnNBF9B3uPshZP8lvAeU/AqfcF39c4+zYahYu0LCGixWIw+3n19ak4bnYsM/ZQS8sSIrkTJsehz96RXmJKZbLqYijiikX9b790P7x6AayfYT9PtAK+uAd+eN5BODy4fbn4qCaEwziNuxidaiW7nK+Jh4vjMEM+Nr32OJT//oNiVFa+EPEbd7b/PpMVVRrnuFvFOSfTY2Q+iP67Y8+0LmiRhX75M0tETiAwCIeKjkO52K9573CemazO09p1qNGok5oGl70qiursCqgadxXjIU5uYU2tQY9KaTQajUYDNRRVmmcRVZpkV4nGGifxyI7KMpj/qvpy7Qbb9PmKQc+Lwoks03jDKaYUfDoOfUaVRqPww3Pet1NZCvNe8T5/TVC63zpSVD7fygUTVo5Dr1Glm+cLR+aSD43TvcZkBo4qDeA4jZOSIoSFRJLZ57Cy3NnJZeU6lPtH1m1tfG0SDm2EmDCx6m8Yx0+/Uq+kZ8MV74vztx1NusN1E6scYHGy6kJuM+O0navC30c/eB00lUX9RIIKh5MfFu4Xv8j3WF5xSn/IyhdFQFZk14fjboebvocOJ8GFz8BdS8wOt1HviHSBMJGPmwYdxLlk7wZzIYUXVArZ5P6GLfq69waX+6H5Fcz9CIcpqeJ7TMTvOWLmU7B1gbd5J/5BuBGtiItTYRSfhEV6ttnN5XQu95IecChgchx6FQ7l679LLHkiQVtXmIRDi3YH/a6CXy+Fcx/39jsB8Xz04a3m6bIL06kXtGNUqYXjUN734t2wYiK8cRl8/hvje3LxjV9SUs1xrlo41Gj8kZYp0kfuWgQn/wE6nwVHDYO+V8BVHwkHtlVvUk2tRHtCNRqNRqMB54eDpDoOdY/DWoEcVeqVlZPghLvUl7NyxlSWiUru/Ob+9kWjxrYl8JMUw5XdwCgih9Hj0Gt/ou1L7GMh7VjyoehHVFuxi7iSB4q8xJu5RZXu3wHvj4E131lvc9JfRIVrQ5dIq6COQ5NbxOegb34rYz+3vRtFz8hk4DZgv3M1tOxvnOY2WC+7jXb9LK6lGZLzIEycxNWS3ebvNkwyc+HisdCwI3z396rp9drB+U9AuyH2RSGNOsH+hH6RBStrRxW2neNQxtFxaBEJ6ZWyIuHQ8ktaNlz9CayYAFP+pbasLITLrJhgfN35TBh6LzTuZv7N5zaGvOZGYSqsgrRE5H6kDTqI/6smI8RRiYXdMNv42i2mFIL3ONyzHua+DD+8YJweqxQuS7cirKx6xuOxZLfzsWxFZblaz+HK0oMxzxb8L6o0YJ/ksGnaA3YmOM62L4GOw6znPVyiSk09Dj0Kh/JvJohwqJpA4+Y4jJORA93OE6kVXtn4gyi0a9mvaprswnSMKlV0HGZLAt4Pz9pHkc97VfTe7H+1/fa9kpph3B+dAqTRBCO/BZx0T03vRdJ5+OGHefjhh2t6N5KGdhxqNBqNRgPODwdJcxzm6x6HtQW/wqHfCvV9NgNHdi4qTXismAgvnAZPH2d2ssiibRjCoVfhSLWXHvgfEK4udtj0tZPPt56iStsZX+/bVLWe4l2iv5SdaAhQsBzGniF6Tjlh6nGo6DiUo2r9ukXqtjS+Tqbj0K1/k5Wg7SYc5jaBnMZVr2NR++MhLNyEw5qgy1nQ/kRnEaOR3OdwRXL3yQuxmHfhSHYDJxLEcbj0Uyj1cQ4GERF4ycvQeiAM+5P4DlToM9o8LRqFNVNg5tOw7FPjewPGCLHX7nwfVCTzgnxuixdJyM4+r3h128RisGGmcVrrQe7LZUqOP69xkAAznhJ9A6c8Yj5GFrwNr5zn/pvPrm98bRXJ7MbmH+0FDTvcehz6TS1IFirucdO1/FB1HMpu2P3OvR3j2EWVesEUVarqOJSOXzvhEGDZZ2bBzo2F7xlfy9HRTucZZcehtO9Ov7FYJXxyB8x/3X4er8hCt3YcajQajRYONRqNRqMBXKJKS+zfU0E7DmsvfoVDpwdzO0r32w8cyfF/mnCZ9h9441JzrFoceUDMV1SpLBx5HPSTK7I9LVPDA4pubLcTDl0ch1bxZnUaGD+jWBS+fQimPAbPDPYmthTtgI9ud57HFFWqKOiGEVUKojdZInb9+8LAzU0hO5nAQji0cGhVd1ypU1RpdQmHspif09B9mUadja+t+klVNyrvmkogAAAgAElEQVQDpsnqcehXQO14Klw3AbqcWTXtWIuoPTuy6kLvkVWvYzHhbHuyP4wbDhPuNf7OUzOg7WDndYbVz88JOaq04cEIvwYdzHG4XohFnePzN86B8TfBg83N227uIYLMr5g68xmY+Dvn++U138NrFzvfv2fLblgfwqFd7KgTdvv9P8dhSNeQsGgiReurRJUeqo5DWQSLVXpzYJschwp/f9Ce916iSuM4XSvtKJSWUYoqdXAcmj6zLOd9t+Pzu/2J/4lo4VCj0WhMaOFQo9FoNBpwfiBMZlRp0ApTTTgU++hxCHDUyerLOLli5PhFTXgs+wy++pPaMtXpOGzaE9Idop6saH2s2vzVja1wWGas3pfPe/LgTcluGH+DsUodYOqj8PWf1QbB1k1z7vcVelSpT3FXdhyunWIfcRcUN6ePpeNQKnKw6pckx5UmXTisBY5D2aGa6Lq0o6HsOKwFwqHXmFJw7pUVtMehKt3OE/0mEyP1QESJHnOL+/Ip6XDR2Kr9jsVET61P7rR3K1eWwfvXmd1GiVSH49AUVXrQcZiaBv2v8bdOq+MgGoUJv4MXhsGCt8wOOYA3R7mfl2WhwctnUrgVvvyj+3wAm+Y49w2WxQk/5wineEZVyuyiSpMY7+wFuQBkx3KotHlWOVyiStMyzPvuJa40iOMwaAKN16hS8OcElT8PU1SpiuMwMarUQjiURX0vlBfBT2+pL5eIFg41Go3GhBYONRqNRqOBaooqlSrMteOwdlBZ7q/6PyUd+vnoqeE0+C8PxmvCIRaDyT56DxzY6y2eKhGTcORx0C8zF3pfpratgWPU5q9u7IRDMJ5zTS6FhPNi8S4YexYsfDe8/XJaV9CoUpPjUGHgMM6aKTDjaeO0rQvg30fDW5cbex+GgVvkmCxIVJSZ3Qf1LOIqq9tx6OTKrC7hUHav12nkvow8SLp9MTx3Csx7JbzCJVW8Dphm13ceHJcHrytKvIuSbv1IrWje23p6JAJn/g2G/Z99gUZ6Nlw5HjqdWjXth+dg9gvW8yeyYgJMus/+/WQLh5Xl5sKjxM/vmJvc+zZartfiOPj6zzDzKeflti2EVy90/jv9uDDnvWKOw3Ri9otC6LQijKjS5n3CE/Zso0pr2HFYr63xN1NZat+P2XQtP0SjSsEirtTDbzaI41D+rOK9Or2iIhy28OAIlpFdxKFFlUr3TKkZ/tJcwBwhrYr8HWjhUKPRaLRwqNFoNBoN4PxwEMbAXSxmE1WqexzWOH7dhkPvNYsMXnB0HOoeh0lh83whvKhSWaYeVSzPrxIzNvhO7wMmXc6Blv29r7u6KdljFpcSSTznOkWVfnJn+L3xnJwwskOsvFit95YpZk7RcbjwPXjlfNi1yvxeLCoGxp4f5izKqiL/fU17AAk9+Q7sMZ4n920S+xInI9c8CP+/9SSwbZG6EO+VijLnPqG11XG4aDy8dI55+ua58PEv4Kljwv2uvWIS92x6NJbsFv1i7VyS6VlmYfGAx0KdbudCRp77fP/bxVToPcrh/QgM+TX8eimc9U9oJ/U9TK8D7YZUva4sh6mPed/+7Bft7ydM/fxCFg73rDfeP2bkQm7Tqtd1GsAV4yG/lfN6ItLwkHxuLlgF0x73tk87lolYUTvkz6TMQx+5pR9723acPeuEiGlFGFGlWfnQ61L15aywjSqt4UjylBRo0s04za4I5HCJKgWzEObWCxgsRDAVx6GFyKoSV6oiHLYf6hwxLZOWZYxvBrWoUtmZ6+Y4zLK4n/BC0L7f2nGo0Wg0JrRwqNFoNBoNuDgOQxAOy0tE9Wgi2nFYO5AdIjmNIa+F8zKDfykGIP3g5IrRPQ6Tw+b5/pdVjdYzxYwpDPrVbwej33EXD9sNgRHPiYHw2sqOZc7vJw7ImKJKDw6g7VoDSz8Jd7/AeTAzLdMcYacSVxrEcbh9KXxws/laIVNcIHp1htV/V45gq9PI7E5KdB3K56m6ra2PxUZdhJgTp2Q3FG4Jtq92uK23xnocOjgOl0+A98dA5QH7efash3HnVn9RieycwUHQ2bEMxp5p3QsT/MeVZubBgGu8zQvQc4Q54tduf465ES5/xzhYX7zT2Ktv5Vdqx2tlqX1UXrIdh6aY0g7m32TjznDzFDjpXnPPw6Y9Yfi/zWKJfBzMGau2X3Nfso+1lLcVrTCfP2WKfPSjtuthbXIc+jxHnHCX955snc6wf+9/wqH0zFEbehnLRSDbl1jPd7hElYJZCPMTVapy/bdyZ6o8E6oIhykpcNJvva970I2i+CARU1SpQ2yvfAxXlFQ5ga3umfxElQJkBHT/moRDxT6TGo1GcxiihUONRqPRaMDFcRhCVKkcwZSWLR4S5QrTqMuAsSZ85EGl3GZw6ww47a+QLw1CpmbCmK/gtL/4F232uUSVJsuRcyQT5OFfVTiUY8ZUHIcAbY6Fm76HAWPM54fsBnDWP4RzxKm6uzbg5pJychzGB9B+egtHwcIvcuSWTJC40iA9Dmc86T2Gb896WPyB93U7YeUcaNjBOC0xmk4Wsex63KVnQaPOxmnJiit166dWHcJhZQWUSI4zO+Gwshw+/aXRuWlH0Q74yiEGMxk49euzorhAuIOtsBIO922GJR+L3/iqSWaXVZxT/gTtT7R+L5GmR8M5j6jtc3q2ObJv/Yyqfzv1QrXDbhk/sZwqyNGRdjGvdRrAyb+DuxbDbbPhhm/hzp/g5qkw4Fp3x82qr9T2a98me5EpLcPsyLITVPdvh8l/d3YV22EXTWvqcejDcQii4Ofy99ydgV2HQ3+HePu4EBNWn9wwMbnH7YTDwziq1ItwaIoqVRAOZbcveL8fqCw375+b+NZnNJx4t/u6u58PwyyuP/L2nNzhVr+N+L2ypePQZ1Rp2+P9Lfe/bWvHoUaj0cho4VCj0Wg0GnB+OAjD1WEVUwpmx6Gubqx+TD2p6osH7sF3CAExkcpS+x5KXnFyHFaUBI/aOZTZtwW2/AQ7VoT7W8h3cZA6oew4DGHQr347GP4oHHurcXrfK0SvKpW+OTWFm3CYOFgkn3/jgulOi7jOoKRlu0fL5UjC4X6FwWq/UbWl+0VMqQpzX1ab33bbFr2K6rc3Tpv1HKz5XhQ2eBUOwTquNBk4RUBD9QiH8rUkNcMcxxhn2WdqbralH0OhgvM1KCbHoQfWTrH+3cuDwBN/B4/1gHeuhA9ugtcugke7wVf/Zz7fpmXC6Hdh0E3W20xJg14j4drP/A02tznW+Hr9zKp/+0mAsBvoD8txWFYkxPetC43HtHyubNjReT2pacKB2LKfuN7EC6HcHDd+xDWnCFAvn8u66fDkQJj8kPp3kpEHzXpavycLK0HOEa0HCpenFWlZMOJ5uPRV59YH/3McBiw+SgZNuhtf253HD6eoUlnI2zTXvbBPLrhQiSqNRMzFYnZuXRk5/jklzVvvzVP+CJeMsy+mOum3cPFLxr7TcWTh0KmYLTXNfCzEj3Mrx6Ff4XDAdf6WiyPvo2oBjUaj0RyGaOFQo9FoNBpwiSoNwXG4cY7xdXwgQPc4rHlkh0idhlX/zqprrqINGrXnNsB9pPU5jEaFYPLiGfBoV3j2RPjvQHikK0z6SziD5R1P9R4lJqPsOJQHQQIM+mVJx56p71gtxq0vYeI51y6qNBlRrMfe7F6JLzsOlaJKLarnvbB7jXtMn0xYve/kAcA962Hhu8Zpm+eKyMz/HmO+ntWTYk0TyWtufP3Ng/D6pSKmM0yHvXxeld3i1SIcSkUfdRrZH8PLv1Bbd7RC3e0VBL8DpoveN0+TB4E3zDI7LUt2id55Y8+E/ZLDNz1LDHDLDP2DcM6NeNb/QHOb44yvEx2HdV36AVohR/zGCSocbl8KH90G/zgKnj4enjlB/Puty2HtNIuoUhvHoRtyUYp8PsuyEcKdkP92p/fkz2XbYnj9En/9BwH6jLKPUJSjSv1uo7QQ1kyB7TZu6rRMUaySkuK8jbJCcT9kijsPGL8YBnIByJ51sPhD83nicIgqLVgJr46ADTON0799CJ46DlZ8ab+syXGo+PfLDk2vjkP5uMqq6/3+qccFcONkkXQhn7+a9zY/p8ZRiSoFcxFdPJLX6p4pNd3eKWxH/2vtxXuv6B6HGo1GY0ILhxqNRqPRgEtUaYAeh+tmwPOnwIc3G6fvXQ8vnW0eIDhShcOKMiEevXM1vDwc3rgMpv67etx3JsdhQ+PrfGng2y0Sz4lYzOw4lN06e48g4bCiDN69WvT5kgdpigtg6qNikDRIj0IQfU/6XeVv2erscSgjV6v7cQFVN/u3w7T/wIYfnOdL/FvkwcZ41X3DTuHuW48L4WQLAUImUFSp/P17FA69RFbKhCW8yQOAq76yj2UrWA4/f2OcZuU4jMVgyqMifjWRaDmsnAhvXgYvn+OvZ5kV8nlZHugulgpEkoF8nDj1N7Tru+ZEdfwNcVRF7DhyYc2eDbDXIZ5bZvsSePvyqv5XcQpWGl/nNYeh90Ce1KtPldbHGF/vWl3lMO5+nnv8pEyvy6yny85TFeFw4XvwzBCY/5rx/BKrhGWfwstnw+Z5xmXsokrdcHMcdhiqtr6cJtCkh/37bsLhV/d5i4i0IrsBHH+H/fumqFKFa30sJnpgvn4J/K01jBtuP++BvVXiiNv9RFmh+Trv9RqSTNZNN7vh3r0aHusuBLV40sKhHlW65Sd44VT4+Wvr93csFf2F579m/X4QxyH473uv0t/QikhEiITtTjBOt4ukBbWoUjAL4E6OQ1Drc9jjQjj7n97nt0M+Xo9k4bB4F/z4Bkx9DGY+DRs9OG41tYZIJEJUvo/S1Fqi0SiRZBTLhoSF51yj0Wg0miMQx6hSn8Lhss/hnavsK0bXTTNH4RyJPQ6XT4BP7jC7elZMgG8fhMG/hKG/E9XayUAejDUJhy2gYEXV6yDC4YE9koM1IgYuE12GR5Lj8LO7RASfE8UFIsrupu/9OUDiDL0X1k41D7DKpKQZB2tUXQhh9ieS3Wq12XFYVgwTfgs/vml9zkvLMn42iedcef744E2fUfDdw/5EtUTqtxOxrwNv8HYeyWlsfK0SVerXcVi3tbgeqPyt9dt6n9cJ5YF5afDISjic/gR8/Rfn1ayfAa9dCNdOEOJ+EGRxqmlPWJngDPHbv0wFudDFSTj006M0M1e48XatFq/rt4O8purr8YLfIoXE4332C/DFvd5dM3E2zII1k+GoU6qmFSw3ztO4i7/9k8lpJPpwJl7j188UomF2feg9Eua+5G1dHU6GJl2t3/PrOFz9HYy/UYiETsjCgV/HoZvjZsAY8b16pd9Vzq4rp89l1xrR/9IPdRrC5e86u6H9RpVWVoh+nj/aiEdWFO0Q9y9uwqFVsZyqeB02Ux61P5cX7YDv/i4cl1e8d2hHlZYVw5ujPNzzxeDjO6DZ0ebWBXYimFf8tq8IKhzGkSNp7Vy0YN0b2Qlbx6F0zMSvIVn13BNaWg2CQTdCz4vCeUZ0K5w4EigqgEn3iYIV+Xhu1gtO/gN0ObNm9k3jmfT0dEpKSohGo6Qka/xEEwrRaJSysjLy830kOlQT+gjSaDQajQacHw7khyMv7F4H713nPmAmDxKrDrAd6iz5CN4aZR8FWFkG3/8DPvtV8iodZedHdgPj6zypP14Q4VB2G+Y2NQ/w7dngf/2HEtuX2ldtyxTvFA7UIGTkwFUfQpdz7OdpcBR0lZwDKo7DWMxcaBAkqlQedPLrAko25SXw2giY94r9OUze98TBIjuXQr02opLcL5n5MPpt+MV80RvS68NzriTGVEePwzoNoNMZ3rcD0P4k+Oh2+FcXeKAp/LMTjL8JNsxWW4/ffmtx6squ6U3uomGcLT/BrKeDbR/cHYele733i/KLSThsbD0fQLsh6utf/BE80hnGni7+e6SLcOev+V59XW74jSpt0U/8f+44+OzX/u9p5ow1vt4hCYeNQhIOAVoNML7+8GYRVbj4Qxj2f9D0aPd15LWA85+0f9+vcDjpz+6ioUxWPXE+8YNp4FwSkJt2995HrF5bOO4253mcPpfV32IqUnAjNQOOux1ungot+zvPK0eVlhV6O0dM/L2aaAhV1xC3+wn5Xjgl3bq/XHWx9BNv5/L104WYeihHlS56z12oihOrhBn/NU83RZUqCoemqFKvjkOLqFI/mIRDhzh05ahSBcfhvi1QKvVt/N96suGaz+CXi+D6r6DXJeEVlh7pUaX7NsOLpx10t1s8b2xdINIifni++vdNo0ReXh7RaJTCwoD395qkU1hYSDQa1cKhRqPRaDS1HkfHYYn9e3b88Jw5ss4LR1JUadFO+PBWbw6buS/Bss+Ssx+uUaWScBikx6E8KFG3pbki/khxHMoDw2789JZ5oEKVrLow4jnz9K7DYfS7cPtsc8SbinBYWW4+ngM5DmXhsJYOYnx9v7E3mBcMUaXSeS8xEm34Y6LKWZU6DeGaT6HzmeqDSqaoUhXHYYAel8fe4n3elHQhuM1/FfZvFdst2g4L3oIXTxUuJa8OVb9RgCDcMLKzbt44tWvZnJeCu+1l4bBxF4hIvZlUY4dVkXscOgmHvS6FDEXX4ZrJ0vklJpz5486FKY+orcsNP47DrLpC6C/ZDRPuDbb9TVI8tSwcNu4cbP1x1k2HJZ8Yp5UViajCd6+GF0+Hc//jXHDS+lgY86WzI17uDehFONw0z90hb0XDo/z3h/XiuDnrH9B7lPN66reHKz9wFzBl4bAs4XPx83ttfxKc8aD5vs2KjFz1c0TBKvjhWfX9+p9w6OJmk4tUgtw/BCUWg+8V4h8Xvms+Bx5KUaXzXlWbf/EH5uMlcFSpX+FQdhz67OndVBIOC1ba30eUSecwt+uZ1x6Hi8bDv4+GvTZFlFn1hdPTyU3sF7fCicOZWAzevqIq0cCJz+8WCS6aWktOTg6ZmZls2bKFvXv36tjSWkg0GmXv3r1s2bKFzMxM6tSpBf2MbdBRpRqNRqPRQLhRpdFK+PF1f/txqAqHsZgY0ExJdZ83zvxX1QasZz0D3Rz6yPjFFFUqDXTJA1BeK5KtkOP08luaY/6OFOFwzRS1+csKhTup3eBg292xzPg6txmMTPi9ypXaKoOXVsUCh7vj8MA+4S5SxTGqNOERJauuqC7/8g9CPHarAE/NgO4XwCl/EFGOfggUVSpH1Sp8/x1OghPvES5rRyLuTq4Fb4sBuUtedhcR/Ljq49RrY17/ss/V1rF3A2xdCC36+NuHynKzU6duK+EoShzILtkNOVJhSJjIPQ7lIpREMvPg5N8L91IYfH2/+H0cfYmIhwza+89PkcLgX4rI2Rkv+494jyP/zk1RpTaRoCpsnCuchU5FXjtXilSE6ydBx2Ei/SBObjMY9Ya7sw2snXXRqHNRw7pp7uu1ol6ACGMvPb5S0+GCp4VQMFtynjTsBAPHQN8rzH+zFU6OQz+uKRWnZSSifo5QLXiKU+TRcSifQ4LcPwRly4/inksF2aF2KDkO5eIENyrLYOdqaNk3YZrsOFT8++VnqOqOKs1rLkTHuMAdqxQxzs0sXNemqFK3HoeycGjjOPz2Aef1FG4WkbJXjFf/fN04kqNK13wHm+Z6nDkG0x4398TU1BoikQht2rRh/fr1bN68mZSUFDIyMnRsaS0hHk8ajUbJzMykTZs2usehRqPRaDS1HqfBaNVB1f3bvfdKkTmUehxWVsDyz2HOi7Buhnhgzq4P3c6Fgdebe3/ILHhHbXtrpwhXiZdKchVUHYdBokpNjsNWordZIns3CCG2Ft9AhoIfsSKIwBFn2yLjaznSMIhwWC67zbKDfY9ytbqf2KS9G2Huy0LMKd4p4qTaDxG9qpr7cPLJLP1Y6tvpEUNUqUu8WVY+nPcEDLtPVKPvXisG3Bt3EwMXm+aK7ym7noiAdOot5wWrqFKvv0mrY0CFk38v9v/bB62PvdxmwmHohSUfCkdal7Oc5wvi5N27QTg1+l5R9fnI51QvlOxyn8eOwi0YIg3T64jBTytRIJmoRJWC6LtZvAum/Mthpgie4xoLVojj5ru/CxHv5D/4j3BTdVr0vxZOuEv8e7micGxFfvOqf5cfEL/5RIJGlcZi8NFt3pIh9m8VhQtdzzVOb97Lm2gIFm6cmDhvOg22+73eLfsUpv0Hjv+F+vXHVKxicxxELI7LY26GMx9W26b8uSQKh0edgtLxD9DxVO/zgrhmJJ4j3ByBqyerrT+OXVSp3Ne2NjkOty5UX6ZIOvcfSo5DP72U3xoJx94m0gJS04M7Dk1RpdUsHEYiIq50/fSqaduWmIXDijLz/aifqNJYzJ+rb+0UcV97zI3qyzrhpXDicEW1AHDlV+L5IkjveU1SSUtLo3379hQXF7Nv3z7Ky8uJJavti0aJ1NRU8vPzyc/Pp06dOrVaNAQtHGo0Go1GIwjTcejn4TPOoeI4LNopqvA3zDJOL9kt+pzNewWOvwNO/Yv9wOW+jdbTndi7KQnCoew4dBMOA0SVyj0O81uK/xIHj8r2i8/Rb4+iQ4U6DWCvorsyjM9k22Lj6zCFQ3kQWsVtZkUQx2EsBtP+DV//1dwja9fPYtCl12Uihi/IfnqJNbKi0kE4lOO64uQ0sh4oqh/AYWO5HUnwqSgRv0svDhqrfj0qRCKiH2PfK0UcVGIvrVaDxPloyYfe1/fD8+7CoRw5pkJ5MXx8O2yeD+c8IvbfbQDRCtXYzkTkYo78FlVuokSqXTh0EbAjERj2J+gwVDjql31qfL9Jd9i+RH0/ohVCjDywB87+l7/iBVkwanO8+M1ummOc3vRoOP52cS4JIhzL9Ly46t87Vxnvq7IbBC8OWDsVdjj075JZ+ik0lxyxXs4HcVJSxTGemLJQWui8DifHqhOVZfDVn4QL94wH1ZZVcdzI7rKW/dWPtUyHCNf67aDTabDyS2/rqtMQup+vtn050tHtHOG3H2zcSSjfT+Q1NxaUybHYNSkc+hFN5GeYQ8lx2KC96OGmQuFW8Vv7+RsY9WYIjkNZuPIbVepTOAQRV5ooHFpdg+S0mEiquzvWKqrUa5y6FbOfh0E3hFtkeST3OJSfjVyJwfZlWjis5UQiEXJycsjJ8XFfrtEcRPtUNRqNRqMB58GRMkXhMLcJpPu8QTsUYlHKS+C1EWbRUGb6f+Cbv9q/bycOOBF29XJFqXnQXBan8ix6HPp1hlr1OEzLEINHiRwJcaVdHXpGWZHf0jxw6weTcNjT+DqQ41ASDlXdZjJe3R9WTHkEJv3ZLBomsuBt+HtbeP5UmPWcv55SEb+OJo9RpTVBWoZ5QNlLXGllufnz9jvwm1FHDJob1lUHln+htp6fv3G/hgXtHQrCeT7zafHv9kPUls2sa/4dqiCfV+PFHtUuHEoxg26Owzjth4i45AFjjNNlUUWV2S/Aqq/9LSsPmDbsADd8DbfMgEvGiQjcm76Hm6dA75HGwVs/wnEi6TnCwRrHFFPaJfhg8dKP1eaPVZpFU1Wx2ymW04pOpyMcdz6Z8SSsmKi2jFfHTSxmvpY26aa2LbD4TKRz0Wn3Q4ZHgfbMv6sXapjOES6Ow2yfvePsHIfyoPv+WhRVKqdheEHe30NJOOxzuf9lV38Ln95lvkdT/f5SpHsfr8Wk8nEbRDhsIvU59CIcZua6n5Pl5+LykmDx+wUrzK0HgiKfPw6FZ/KwcHpWsONQKXbWaDSB0MKhRqPRaDTg7jhUiXZITYdel/jbj0PhJnz2i6L3iRemPgYFq6zfU41JTMuGhkepLeOG7DZMyzLH6dRpaBz8iFWaB4i9YupxeHDQ6Ejsc9jvajXxuP+1wQWlWCzJUaVhOw6l5b0Khzt/FpGFXqg4AJtmwxd3w2NHw/IJavvot9eYk+OwNgw2WsWVuiF//6AeVZaILMCUFfqI9Yq5C2YqvWadmPqYiDAbcJ3acn1GC6HULyYn98HzqlwEkmzhsFjRcShTt6Xxdem+YPsDwsnoB/lcEz+Om3aHHhdAjwtFHLnVYHHbgH1oz3/C+N3JvccadQ62fvB3DS+Wjh8Vx6HV/G7CYf227m5hN2Y+pTa/KR7b5nxTuNUY6xlJFf0NVTF9JtIx36QbXPGecJnaEUmF4Y/5u++WhUC3qNLOZ6hvA8TxFou5C4cmx2GA82JQOgyFOornsDzpunkoRZX2HmkWklX46U2z8K0cVSoLhz6jSoP8HfI98TYL4VD+O72I+3IRVVlRMMch+H8Ws0M+XoPu36GEn0IB+dlVo9EclmjhUKPRaDQacIkjialXRR5zsxjMUKW29ziMRoWLwTMx4USxov81atvudYn6QJ0bcl+tOg3NA6EpKWZHYKLDZdM80U/o278J15ad6BeLmSP14gPFVn0OD3fymgo3gReaHS16yARl3ybjAEtKmnkQWnaaKUWVBuxvJ+M3qnT2i/4ik0v3wlujYeUk78t0Pcf8mXkhcUDGa1RpdZLbxPhaHtC1wkps8dtjDszCYfkBfDmQnBxgVr2K/LqciraL/nbNjobeo7wtk9MYBt/hb3txrKJKoXodhxVl5nOF6qC77FAM435g1SRzgYwXgjhnBlyL72Oo05nCWZ64fVk49FuskIgfQUY+pwYWDj0Iw6c/4CyaubF6slpfZq9RpbILqeFR/gplMh16HMZpcyzcPttckBBJgUE3/j971x1mRXW+33vv9srCLr13kKJgxRYVKxZsRFEjii0aTdT0RPPTmMT0aIzGqKhYiQ27RsCODZAuvQgLbIXt7ZbfH2cvO/OdMzNnZs7dvbt73ufxkTt3yt17Z86c+d7vfV/gxs/dNyvE4daqdOocb3P72lJGlNDmwLwB/HpG+G0+8oOUdHffa9FYnkBKhiYgWWT2YGpqP80+9JmiM1qV0vG1eje/f9psJKMy56xKG7zlG5r2qZhY785WpbJztjj6TvKmMtfQ0Oh00MShhoaGhoYG4GxH4tautPc44Oy/SaxIimvJrjgs3wTs3wMBCEAAACAASURBVO5um00WCqYxZ/GWOFZIyQCO+YG748qAZjFZZeiJcg63fQD85zvAIyexjJMP72WqrfsmA8/N5rPf6srND8nBlDZVU3dUHAKMDDz1t7Cdkg46CrhiIV9g9AJqrVY4mi/siBSHsopj1YpDTv0hWcRY/6r3Y8YiwKs3MiJEBqmZrFHCLYxjbrJZlQI8cWgs6MZi4nNCdcYlLYq11AODj3G3jz4T7O31RFlFl73Isuu8YO8q9v9z7gPGnm2/bk4f4PKX/efWJoNVKb2XpGS6t+zMJuecW9tFIWIs684t/GR1FQxlOZ1SIHOgze8A/5wC/GkEy/is2MrmHUYUKVAcDjrK/Tb03pBoxSHACLkrX+fPDTdwM5+QVdzQfEOvBWTZ7yS7kM8v7DsROOvP/s4Ht1al+QOB7/zC/XHqSnnyJS2HPz5VUPltPvKL429n+aZOSM8DLnxUcC/vRMQhAAw/EZjzhvyzCQVt7nKtOCTXn+wzoUriMLNHm2o/Dnq9i6xKncDNZxr8KfrS87z/TlbgrJq7kVXp+PP4Jlk7HP19tfmSGhoaSQtNHGpoaGhoaADOBfmWOvf7nDqHda9m9RK/XzCML4QkO3HopfBqtU0oFbj0eWerk1AacNE8lmukGhxxaPFb0cL2hjeBpy4A9nzNrxuLAhvfBB6dbiaqqolNaW4/INjaud6DKA4PdAPFIcAeOo+9heV7idDvUOCqt91b/lnByaYU4HPFoi1iC0oRaNHIbze0V8WhjDrODrUl7jLATviJM0lEEUlyxSEt1FfuYLmR/5wK/LYQuKc38NBxrdmQrcohv/lGFJzisB44Yq54XSs4rS8qAI6azrLrRnuwSYzfS1PSgVlPARc8Cgw8kl/vmB8AN3zi3rLaiKYapq7d/qF5eZyMaE/ikMs3LHRfVKOKw+ZaYNiJ/j4X4K14TxsH3BbAT/sdMOm79utk9AAmWthLNtcAX/4HePAYPuOwUMFcYOJF7jIk+0zgGwHagzgEgL4TWlWcHuFGISeb8cURhx4L+PQ3sLNNbibzcNnsQzu4tSoFgBN+zO55digiRGrDfn6MyMjnz4kW0qToNSNXFVIzmFXshIus1ykcA1zVqjSnz1Kdyao0jkFHAt9fChx3q/ttaU6ca8UhuVa9WpX6IQ4BZkltBG2646xKZYhDqjis95dxOPlSfxbnInRnxWFqBjBrvtxzy+TZ7hWKGhoanRaaONTQ0NDQ0ACcHw7cKg7jOGQm351cMBS47CXg5hV8Zp/sQ2JHwYvqy664UzAEuGaJdWbRiJOBq95hdoiJACUOrSzBaBfmquedg+TrK4BnL2kjnbgcLoNFVXdVHMZhZVfUsJ8vpPgBLX6IiMOUNP7BWdaulBKMfokjjjh0oQL0i/UL5dcNpbAmiRN/Li46pOXwCjbjmEsbJpJBpZBDSJwvHwYW3w1UbGGfN9IMlKxhKuMHDgd2L1f/+9PvsrmeNZsMmCq3fe/xzsUdq6yiQADof6jccYwwZnYFg8xi+pr3+MLiUdfzqk43+Ppp4G/jgTdv46/PhTcykpezIfRg2SkLEXHoFvScqy0DzvqLNyvgODJ7essh8qM4BNiYcP7DrBA59HjymQoYcXzsD4E1/3X+HEbL1rQcPhfOC9KygRN/KrlyADj5Dp7okymWG0FJMlniEAB2f+XuWHEEU91lQ3OKG4t7DrUq9UwcuiBT6VilwoXArVUpwMbGk3/NGh/ovarvZOCCR4DrPuTVghUk71tEHFJ0pFVpHGnZwEWPtT6zjDS/d8wPmFVs39b7O0ccJsG93AsCAWDoce63o0YEbhsuOKvSDiIO6fW8bB6w/rW2z8NZlSpSHMqq9DMLgGk3y63rBrJWzV0Vg45kiluruWsgxFTI5z2g1YYaGt0ImjjU0NDQ0NAAnB8OaBewG9C8urFnM0VHMMjsKo1I9ozDorHuLbOGn2D/fk6R2JItEGQ2dgMli+ReQLOfLBWHJIcGkvlxVd8Ca19m/6Z2evmGfVJisuwb4IM/MkvU7gBq6xrHgW/l1X4y4IjDCeL1RHalMlBtVepVcTjoaH/HBZi1rhuEUoCTfsF36Q85FrjtG2YBZoSRBE1GlULcRjgOu6aO2hLgqfP5LDbfikNKHNaye8alC4B+k+23LRrHLEedSGS7rCI7lYkIwRRg/Ezxe1x2qES+mxW+fAR49SbrjLhoCyN5N7xhXt6eVqVUPSgDTnFYw9ToV77O5+DKYsoV3q4nUV6nWwQCjOie8wZw+ybg+o+Am75k/z7518DS+93vs3CUuoLlMT9wtkAPBJnt/JgzeFLLjWIR8K44jISBb79wd6w4xp9nbcEuAlc4FzT1RKNA2QbzMq/EISUc7L4TL7lqTnBrVWpEr1H8veuqt4BJs4DUdL4RwAtx2NFWpUb0GgH0P8y8rOdwc44vfZbqrMQhAAw9wcM4TphDt3bTXqxKw028Tbof4nDfGkYSGlGyFvjvFcA/JrKmHar+lbIqlVAcFgzjG00oMguA2S/wTi0qIDP+dXUUjrY+70afBpxyp9qGTg0NjaSHJg41NDQ0NDQA/uGfFjP8EIf7d5pf9xjS9m+OOExyq9JQKjD1SnfbHO5gldfSAJSs55fHompJIxGkiUMXuQ8Uy59g/68iVqVxMnLT/4AnzjG/Fw0DH/we+PshwLu/YoXDrgwr4hAxvtjmFS2NQPlm8zKR4hDwThzSIojfoh8lnmIRuXPBrZ2lCF5Vi7TwO+hIICPPviDDWZUmQcah2waJpirgswfMy3xnHNLCeIydYzlFwNXvAmfcKy5MTrgQuGaRuTnBChwZYrj3FY4ERp4q/3nHz7QeKznSxCNxWLEVePtncutS1Wx7WpVmeVAcpmbyCv26Mmbn+oNlwMAj3O0vIx84UjZrkIDOifzmLeb2YWR30RimXlz3irffo2isv89hRCAAnP47Zpk+TNDgNPBIdp0dfjV77Vfx5vUa2LeK2OVLEqeBEDDNZTY0l6sraJg4sMM8Jw6lAz2HuTtOHPQ7aa5lxKQIXlROTvBiVRpH7T7+8xjPCXoPofOPjB4SisMkIg4B/vygDQbJ2ATkFSlpwFQXFsG5/dlzi2kfbhWHHp4J6fw0lO79vNm9HJh3JrDfYk5es5c17Wx8y7zck1Vpg9je//KXgTP/zDvRpOex+9n1HwODXN4LZdGdrUrj2PmZ9XlHn2M1Og6xGLD9Y+aw8fgM4ImzWS70vjUd/ck0uiCS4KlcQ0NDQ0MjCUAfDjLyzUUKr1alAHCAEIcFRuKQ5ll0AoLo6BuBVQuYms4JE2cBA6bYr7NvjbXtZ3Ot+gwLI6QzDiUK8FaId+ZzisOBLCtxweV8sSGOWISREbWlzPYt2EV7viq3W79XvqnNBssPyjeaz7PMAl7pGUeyKA5FKp9IE1P32WHkqcDgacC3S70fO7cf8OLVTOnSUsc678edwwppdp3e1A4ybv9rl53FWZV2cLGxYiuz5nKLvSvNr31b1aYx6zKj2rG5nhXgUjOBo7/PGhOo+qdorDyp4VSMP+c+4LFT+fGLoudw4Mw/Wr+f4cOm0Yhl85xtoq2QUOKQKHS95rJmFzKl4cH9ljGr0dQMd+qdtFxGiAVDwId/YkRdzT52Tg6Ywsiw4SdZ31M4xaFi5dD2j7xtV72Xjcd+rfiMGHMm++/Jc815mUdcwxof4uBI9nbKONxJxvHBR7N7JiWujAgEgXP/ySvEnCBjVUrzDYvGeFegiAiH5lp+vAAExK2KjEMfOag1JebXuX3Nr6kVc/km82spq9IkIw65+7gTcdiJFYcAc1DYugQoXma/XigNOO+fwNMXkuU+iUMZq0xVNqXN9cDzs833HytsXWJ+LaP+lbEqTUln856jrgOOvJbNberK2La9xyf2eRDQVqUAnxltROV2Rlhpm9KORcVW4MWrgL2rzMt3fMyyoUdOZ5bZbtwGNDRs0EWrTxoaGhoaGi5BHw6orVoLsWVxA5pXZ8wbonkWnYE4zOoJfG+hWTkpwtizWQ6CE4pXWL9Hi9qqwRGHFpPsvP7ejxGNsIet4uXm5Rn5wMvXW5OGRqz5L7D2Je+fIdlhSxxutn5PBtV7gQ/uZQStET2HWz/8qlIcivL+3CAY5McIWmix2u6SZ9wXjY1Y+Qw756p3s2Jq+SaWG3f/ocBSm+u6nhRe49cULUiHbRSHHVls/PZz4D8nAZve9r8vv8QhwBfK6L2IWoYBwP4d8vt3KsbnDwCufgcYcLj1PoYez7Jo7cgyauvo1ap0tUMmnh0aDlirmWRQtgl4707gudnsv//d0WZPqyLjEOCt8YyEZPUe83vjzgVSBcTLuHOBa5ew4tI/JgHv/45l0jVUAjV7mIXr0xcAT8wA6ir47QH1ikMKr8Tx9g+AR6cnRvlAiR867tOCuuuMQ0XE4cjpwLWLgUPOF6uz+x3KbIoPu8zd5wP4sVd0v1GVbwiwe5WsXSkd61RYlXIZhz4UhzkOxGHFVnLsfGe722QnDjnFYRLdy1UgLQu44mVg9JnW6+T0ZSo5mj0cCDo3eVFwVqXtSByufcm+GcEOMiS+jFWpcc4UCAC9xzE1+MDDE08aAvIZr10ZdsRhcy0/19FoX1RuA+adzpOGRmxZxOZ3bu5nGho20IpDDQ0NDQ0NgH/4pV3IXhWHTbU8OWUiDml3aScgDgGWdXLDx8xG8+un+PczewIXzwdCEl3oe762fo8WtVVDljjM6QNmDxYTv2+HQAC4/zB+28W/levsjeOLfwOTLnZ//GRHcz0rZluBdunLIhYDPr0PWPJbMSFfvBx483Zm90iLBRxxKPnwRRWHKoijlHSg2VA8kiEOAXYuz3mLdZ9+8Hv57ZwQDQP/+xU7r4+5iX/fSnHIWeDZZBx2lFXpgV3As7OY7agKqCj6pmabC4P0XiRqrrAj4im4YryADOkxmFmf7vqSjfeV29nvXzgKOOwKZ1U5IFAceviOIy1AXan77Q4ixo5L7+9OqKsAXr0R2PQO/97S+4FRp/MqSC8ZhwBPNtS2/r2xGFMMGnHGH9hY9dex5vPg1LsYAf6ag03lt0uBp2YCV73NK1S5gq5i4tBPJ3z5JuCZWYwc9avqNoKSOMZzNBZToDh0qbptaQB2f8UXcoccyxwLLn6CNcZsepudo2lZTI1ICQw3sFOGx0EVh73HeT8ewL5H4/lrSRz6JG5FoFal4QZmay5zXtHrMZfk4lKrUtr0kZHv/DckU8YhIEEcdiGr0jgy8oHZzwN7VwMvX2tW+B9yIXD+Q+x7oQpUL7mwXDOphLqezk+9EodfP+1tO0DSqlRScdiR6O5WpfWVvNVler75Xli5jZ+naLQfFt4kR96WrgcW/Ya5hmho+IRWHGpoaGhoaEQjfNGPFhO8ZhxSm9LsInOXdGfLODQiIx8YMk38XkMlUyrJYI+d4tCH0lMGshmHodRW8tADmmshJBxlv584ipfZZAF2Yjipo7wShx//hT002V1TXz3K8lpi5PdRpjhUUPTjCnWN4vVESMsCjvuRP0WIFd67E6gS2Fdy11ScOLQpyCSLVennD8r/1jJQUQSjXfZ0TPSrOKTFeCuL00AAGHwUU5Ff9SYw5w3g7L/LkYaAGsVhIMRUHH7g1q60vhJ4/EwxaRjH5neBHZ+Yl3nJOAR4pWK8QNRYxUgNI3L6MNKFKuX27wDe/LHc8fat5rM5ASBMCQDFBV07BY8MStepV+FTcts4FrQ08O4AibIqrStnTVl/HQs8eY75Gg+EGGkYR14/Zjt74k9YI4cf0hCwV9yEm5jlLSUyrbKCZSH7vfjNmBQhNZNv8JFtFOKIQ2J97lRcl7IqVUiMq4BjxmEXUxwa0W8SU/saUTiy7T5PbVtTPPzt1PJXxiqTqoq8EoeVW53XsYKUValIcUi/sw4+37n5djcgDuNZeS/OBR4iz/QFw5ja04iu+BzaWbBnpbsIilXPJ9aiX6PbQBOHGhoaGhoaogczzqrUI3G4nxCH1N6zM2YcGkELJ0bs/NR5+8ZqeyvKRFuVUnWUFXEIsAJdR0NE1HR20IdQ2qVfvsW9vWDpBmDJ7+TWXb0A2EhsKT1nHJJxQkURxKlQJwNaiB1xCt/Z7hbRMLDiSX65ZcahDXFIx2C/n80LWhqBr59Ru08VahGuS99AIoSbxR3xNXvY3yMDWoxXYf8nAqc49EAcBoNA30nutgmQe6zbIsrbP2X5qE6ghL5nq1Iy/sWJw5q9ZL2iNpInk6j31i10Z6++7HH+GlRRBLfD6NOB/MHO69lh2WNqPksc3LhvOEfpGJqS4b7BQYYgq9jKrJI/e0BMYMUiwLwz/Ft4W0HU4BGNAh//DfjbeOCFOXye55oX/LlD0O/FyolBRh3tBV7tSmuJwow2lzmpjjPyGZlCxygj/Nqdq0Z3yzikEJFfcaggwVRYldLG1/aADIlP5xZC4rCjFYfdzKq0tpTZXj55NrD2RX6eUbOXP481cdhxWPuiu/XDjcA3byTms2h0K2jiUENDQ0NDQ/RgQIucXq1KqeKwgBKHnVhxCPCFEyNkiMO9K2Fr/5lI4rClkd8/LcAakTcgcZ9FFl2tCAPwD6HDTjCTZeEG9+rMrx6FK1vZL/9jfu2ZOGwHxSEt1MmAFqjPuBf48SbgpF97/1wAsP418+tYjCdmsiysSo2d3LQ41hGKw4rN/i1KqeJEieKQFOSM9yI7cohm61qBjoFpLlVUsqDkgNeMw8Ovcrc+Vf24IQ6r9wJrX3Z3vDi8WpVyGYcWxKHxXKMNLzsk7r1G1O5jlphG0IKuasVhMMQUq3akiROKl6tVhHBWojbEoVu1oWgbSp431wHPXARUOVy71buBpy/0nhNpB1HG4cIbgMV3AfXl4m1WL2CFZ6/XtHTGIR2rFBGHlGiRHSPsrklATnEYCNifSx2twKJwckDoilalRnDEoeHvVzFm0qYpmfgKVRmHhaO9bQfIzRu4764h8ZbYbsE1TkgQt50VDftZDt6uL6zXCTfybguaOOw4eGkeru6CDcca7Q5NHGpoaGhoaIisdexUHm5Ai7c9SIc9113ayYhDO8WhTPGy2MamFEhsxiFVRqVk8raARtCi0KCjrNdNhGIqlA4UjVG/347GfpLHVjgK6DXSvKzMpV3p+oXu1t/2vrlY6NmqNBEZh2QfKhSH6bmsQCOyKHQDWkhuqubHsLiaw6qTOxZLDqtSvxmQgRAw4iTzMhXEMR2TjPciu/GRXldWSIT9nwjp5JrySnpMnAUUDJVbN6MHG0+MkFUTAcwKk9qYy8Kz4tDCqtTOFpHmBcpaLZqOQ65lSgAkoqA7ajrL6fOjqqJjrh/Yjfsq8vWcFIernpMvyh7YCax81v1ncAItnFduY8SgE/Z8Dbxxq7djSluVStoquwXNPJW2KiWNc04Zh9xxW++NdsShinuISthZOUYjvJ1vV2t2oy4CxlxrJValHppJVRGHh13hbTvAh1UpJQ47mCjvThmHS34nFwVB50CaOOw4eBlPu1rzhkaHQBOHGhoaGhoaImsdLlcqUValnVxxaEcc7t8OVO9h/67cDiybB3zyD2aLVrwC+OxfzlZjicw4rK8wv7azKQWAvP7m12UbxOsNPV7OXsgtJlzQMRZEiQZ9CO05nC/2u8k5jEblguMpag3bKFMcKrAZo8UntwRXJMxbqKbnMns5LwSDEfTvo/mG6flAqHWMs1JOijq6O8Kq1GuGKcA+74WPADkka05FEYx+x8Z7kd34KJtzqIIQkYEKq1KA3Ztnv8A3clCk5wGzF/C/iRvFoaxqkyItx3vBn6qU4uNS/F4ahzHXkBKHXnIg6ZyHU88kiAAYfy5wy9fA8T91v21KhlqFLJdxqFpxSK+BGnO+7rLH3e3vK8VWrQA/Tlftkt927Uv8nFcG3Pdi0RDBWZUqslX2bFVK5r90rMmRsCoFOhdxyDkHGOY8IpKlqxGHtlalCnJhQ/SZ0INVqVfi8JDzgbyBzuuJIEPi07lMLCqwgO5oxWE3sSptrGaNKl5QsY3PhddoH/RzadUPAP0mq/8cGt0OKc6raGhoaGhodHGIrHVSBVkMXuBoVdrJMw5p4SSUZv4+3/89+w62fwwp68i0HLMdVSKtSinJQYuvFNSq1IpM8vrQbodQOjDtZvX7TQZQ4rBgGG+Z5IY4DATY9+XW0jPVQPKoUhymJoHikLuGAqzgus6lKlOEIdPMr7nMUIOSw8oCSlQY64gO2R6DgAGHA8XL3G03+gzg1LuZGnj3cvN7KohDWhw3Fs9VEIftpji0IWXcomg0cO0SYP55/NgQTAHGng2c9Cu2HrUadUMc0sYeWTg1odjB0qqU3GuNjSzUYju7EKgrlT9mKB3oP8W8rD0Uh3Hk9gVO+RVQuhbY+Jb8duPOYbmXqkAJJOO4z10n5HyWASXlo2FGvKRmMuVSyVp3+yvfyK4jSnj6ga/CeQxY+Qxw0i/dHVNWcZgoW2UvVqXhZr75LJcQh+l59nMRGeJQRU6uStB7mimrmJ4rAf4Zp7ODc6NRrTik158McUiIbq/PIKkZwKXPAk+e4zznTcs2zz9kGo5CaaypxahKpddahysOaYNbFyUOtyzy/nzdVMV+N6dnZg31mHwpsOgu+efbHkOA4Sc5r6eh4QCtONTQ0NDQ0BBZlXL2cB6Iw1isaysOYzHeqqn3ePPrr58Ctn8E6bw5+iCTUOLQreLQQeESR6QFyPJoUydCKA246DGgzyHq9tneqN4DrJgPfHofU55WbGXLw01AFckv7DlcQBxulj9WIAAMOtLd58vtb+60VqU4VFH04wg3l8Qhp5TJY99RrQtiwQqHzzW/pkUgI6Ehys4C+MJMINhxxcajrne/zdQ5bRbCiSCO7Wyz7cZHacUhVfEkKONQleIwjrz+PNFz5LXAreuAWU8y0hDgbQhpw4gd+ox3XkcEr/mGom3ry5kFIJenZlQc9rJ+TwYTLuCLgO2lODTiyGtdrn+d2uO7yjj0QLCnpPGF8fh+qWWfLLxuZwW/v7ObJp846HdpNTbQsaojrUppvndqFk8ABgL2SnYpxWEnyjjknqVS2XfQlZBwxSGNr5CwylalOASYOmnuIpY1LkJ2b+DCx/jPJUMcBgL8fIYjDrXisF3gd/6v7Uo7Blk93c2Tjr+96zVvaHQINHGooaGhoaEhsiq1s4eTRcN+YgMXAPKJDQztLpV5SEwWNFXzhfK9K9UeI5FWpVTB4UgcDrB/P45wAzD5EnefpWis2NZy5HTgqreZsqIzonIbsOBy4O8TgNduBt67k+Ug/XMKMH8msOldc/dxej57MPJjVQoAh1/lfn2jcsVOeWKHlvZQHLosFFtZ7Pn9bGNmAAMPNy+rJ0WgLBviMF5kjJBmiY6wKY1jwkXAuHPdbWMcozjiWIXiMNFWpZ1QcQiwe2XJOvOyw6/hSTNKCrhRHI6f6U1Z5oc4zOhhbiiKRdln5ohDY8YhuXeFm4HDLpc7XlouKy5RcIrDdiAwhp8kn7N11A3uG0Sc4Cbj0ItVqWi7+Picnuf+Ow6l8fcqv/BCdhhBM+5kIKM4jEYFisNEWZVKjBGUOMzpIybJ7OxK42OLHemSbFaldhmHomeprgY7xSGX1+fhWuJcaLxYlfocE4pGA1e+Dtz0JZ+rftIv2X2R/q2y8wZ6Pied4rCbZBz6nf/Hmz812h/T/4+5ajhh2i3AlO8l+tNodBNo4lBDQ0NDQ0NoVapAcUhtSvP68w+SVHEoY0uTLKBqw0TAKuvGD8o3A6//iJFYRuxZAXz7hfV2TplacbQ0AkfMdUGABFgH78VPmBf3Hg9c/hJPznQW7F0FPHIy8M3rQExAiG97H3iRKNZ6DmPFN0oc1pW6K/iPO1c+1yGnL6+cExGHMpkelEhXoTjkCnV+FYetRdoBPs6rYScCF/yHL5RSq1Kj4tAq45AWxjrCpjSOYJBdi3YP2wFS2DN+v1zhUAVxSApyLS6IQ5lzlo6xqorxFJziUJKMt0LlNrP6MiWTHzcAf8Rheg4jqNwi24dVaTAotiuljS4m4pCoBRsqgRl/cy4upecBlz4n/t5UFMHdIhAAzv6Hs5Jw2i3A6X9Qf3x6joYb28ZbOo56zQLlSLJWAj0Yct+0MPZsb3aIdvA7/hYMdb8N/U5ESuoWwVinKo+VGyMkFId2RL4R2b3Fy9Pz2kiiTmVV6iLjsCPv5YkCJVyMcz4V9s5urEqb64GvnwZK15uX03PTK4rGsLke3bfI/l42z5sjDsm11uGKQ4sGt66GgUf4214rDjsOoVRg1nzr+UJ2b+CCR4HTftv1FN8aHQZNHGpoaGhoaMhYlXpRvjnZlAKdO+OQ5hsmAqqtStctBB46Flj+OE9YVG4D5p0GfPw38bZpWXLqk3ADs9s85z65z3TmH4G+EwQ2V53YXqSxGnj2u85F+igptPQcxv6flg3kDzK/V75F/vihVODSBUzJaYfs3sDlL/KFflpAjrbwakIRqOJMieJQNXHYWmx1q8qM4+ibGKEt6jC3yw2lRcSDVqVJRBwCrBB/7j+Bm74Cjr6REdC9RgGDjgZOuweYcKF5feO9gZItKtQinPrdaFVqkQUGMIJRxo6K7kNVMZ6Cs4GskSM2rbBvtfl1n/FiSyY/xCEAnPgzYPx57rbxozgEWEahETX7HIhDMn7VV7BxY9Z8YOZDYhXZoKOA6z8Chh3PvxeLdZx6KJQCnPVnpnY58np27eX0YfbVR98E3LyCFcRUZhvGkZLB/51xZaxVA4Zb2Knr3Folq7ZqBfi/P+Dyez70MvfHFI0NFHQOnpKpzoKNZhzKWJVy16OFJamV4tDYnGQ3r0w2q1K7DDjRs1RXA2dValQcKrB35qxKLYirLYuBf0wEXr2Jn5u+ehPwzMVyBLgTjFm6AIsd4JS/OfIEhaNVaUcrDruJVWmfQ9gcQBb0PqCJw45FMGTd5Df+PGDSxe37eTS6kZOF4wAAIABJREFUPDRxqKGhoaGhIVQckgmZCsVhgYg47MQZh+2hOFRJHO74BHhprnNG3OK7gOVPmJcd2AU8dYFcLlecPDrsMuDiJ5miTYSsQuD8h9uKhZQoFKn0OgtWPe+t67nncPb/SAtP3j11PvDWT4GyjXL7yusHzP0fK/zTAk5KJitKX/8h0Hciv61oDJCxK+Uy7lQoDmmHu1vikJyz8cJ173HARA8Pl4Ujrck9O8UhV3BsMf8/jo60KjWiaDRwxh8YuXLzMmDuu8C0m3mSxo44VNE9b9fE4tTQImNXShWHXgkRJ9D9xqL+rKj3EuKw7yTxen6Jw1AKcNHjwPS7zOezHfxm3FLisWyD+X4QTDGfh/Rz1Vcy8i8YAg6dLSYfBkxta9SgEBVL21sJUjQGOOtP7Nr78SbgB18BZ/we6DUicccMBKxzDlVdJ3Yk2cDDmZpSBkffCAw5xttnsAP9nd0U8keeylsbyoA2K4iIQ+77V9jgoMSq1GKeZ6U4NNri2mYcSiq52guuFIddkTi0sSqlzxYqFIei+IqtS4BnZ7H8Wyts/h/w9AXeYjaMyBURhz6yRjnFIZkzdvQ5Q3+zaJjZJHdFfOcX8o0ho88wv9bEYcdj91fi5fTepKGhAJo41NDQ0NDQoA97IsWhjNqIQkpxSInDTkQWtYviUGHG4Xu/kSdmF9/dRgDu3wE8diqwdbHctsZCyiEzgVvXMpLGiKNvBG5bb85C7MwkMsWKJ71t13M4UL0XePQUPr+suQb48mHgX0cBH/1FTq2Ukc8yWQZMNS+f+SArStNuarqtETLEIZdxp4A45KyTFFmVAkxZN/wk++0poW2XbeJGcZiMVqUyoEUyo2IvEb+/XROLX+Iw3MR//4lSHIoswGUaMaywb435tagBAPBPHAKMgDvuR8xGUwa+FYeEbKAkaU5fs+KO/o3RlrbrvqVRPHZV7bY+vqg5oaMLuu0F2rASV5+1h+IQAE69GxhzlvX2gSDLpDztd96O7wQ6/obSnO8RAFAwjN1XvcDKvtWIRCqjPVmVUsWhBXGYI0McWv0tgeS77lxlHCb5vdwLOMWh4X4cpn+/goxD2lgVbgJeuUHu+aB4OfDJ391/BiPoHLlmr8De3A1xSOYAHZGlawfR9dZVVYcjTgLOud+ZPJxwIfCdX5qXaeKwY1FfCVRYuPDIOI1oaLiEJg41NDQ0NLoeohFg+0fAymeBVQuAfWvt1xfZ69jZw8mCKg57DObX4WxpOhFZRAsniYCqjMM9K4HiZfLr11cA619l5NQLc9yp5yjJHErlH6xHThfkXXZi21ojolGe9JNFTm9g/nksH9ESMWDJb4Gl/5TfL/1NqGpMBLfEYSzGK5OVWJX6VRzaFLxTM4HLXgDO+CPQkyh5gqmsYHD87ebl5Zutj8UpDg0FWS7j0EpxSAj0ZAO1B+pQxaHD+Lh/u/37dHwNpiRWWUbVVo0eicNYjLcqtco0FRGHXi1SZUl7ajXqFnR7+rfmkTy1UIpANdV6LdZZFJGqi62PL1IOdZesHG7cbz1HKXGVKOIwEODHxPQ8oP9hbCz+4WrglDsTY9UKiDO+Zi9gtqhCNXiAEZ1z/2dNkjmB+04E4xqdgyslDlVYlVopDq2sSiUUh6mZyXfdcfMRo+KwO1iVulEcJsCqdP1r7hRFyx/nCU034KxKiwUkvotcZCcXjo4mDkXzz65KHALAlCuAq9/l5w8A0GcCcO4DLC+PKv0bKr01YWmowW6beoZWHGokAEn+ZK6hoaGhoeECkTDw+YPAl/8BqnaZ3xswFTj+x8BYQSe3qEjGPRx6sSr91vxaaFVKyaJOFMTeHsShKqvSHZ942OYjIH8gsOdrd9tR8gAQZN8JHp6TSXEYjQLblgDLHmd2KOFGpnKZcAEw5Uq+cG1ELArAY2F+y/tAuaQV6eK7gUmzrAt2RtDrV6bQ4ZY4jDSD+7tVKM5o8Ul0ftmBIw4JeRNKBY6+gRWG961iFsQpacz6MbuQXTsf/altfasuV4BXHBpJG9p9H7ZSHCZ5sZGz1TOMUYnIOKTnqp3iMLPAXMxxUhz6ySrygow8s1Ldq+KwtgSoK2t7HQgCvcdbHJNcx7EIuyaoskwGsg1EfolDSsCUbTC/Fo15WT3NhEd9BVAw1Lr7vMqGOOSyutrZprQjYWlVqkjxZqWuq9gKrHoOKN0IbFlkXueyF4HBLvKo/ECkcE9JZ7mTY88G5p/b9l5GD+C699ssxr3CiUwF2t+qNBazHwup40aOVcahxXJZ4jDZYOeAkGx5xYkA/U3CjWy+HAzy46YXEszJqnTdy+72V1cG7PgYGHmK+88CmLN0ATYPri0zL3PTROFIHHbwvSbQqvK1y+7sahh0JK86nPUUMO6ctjEwLYvZ1tbsaVuncjswgDRmabQPdn9p/Z5WHGokAFpxqKGhoaHRNRBuAp6fDbx3B08aAsyy5flLgY//yr8nIg6pyiPc6M5GNBbjiUMpq9JOpDJrj642VValokKU4za1wMpn3G8nIpk5JZqIOKQkcgflatRVAE+cBTx9IbDhDfY7N1YxQu+DPwD3TWKEohVCKXwuiiyWz5NfN9oCfPmI3Lr0PJLJDXJLHHJ2xgE1RZBEKg6NCAaZqmXMGcCIk9vIj16jzOvt32FdSKGKQ1ur0mY2Tna2YiMlDIznFj0HVPz+1Kq02YY47DPB/NoLcZhIqFIcUuvOXqP4e3YcoRQgnVzLXjvlZe9HG97yd++iKiU6L6DFXIBXUcdJfKv7dG2JtRJFhXKms8Jq3FeWcUi2qykBnrsU+OcU4KM/Axteg6kBJTUL6GNBiicClBgyZnzRsTlvgH/SEJAjDhM5VlHFYTTsfP3SjG/RNQlIWpVaNDGoaDxSDbv5SHfIOBT9JvGGIa7hwsPfT58J6fzIS8Omn2e1tCyeWC/fRNZxY1Xq0LTX0YpDQECOd2HFIcDmCqa5ewAYdSrfOEHHem1X2nGwyjcEgJY6dW5NGhqt0MShhoaGhkbXwDu/ADa/67ze4ruBda+Yl8lYlQLuVIe1JWb1STBFnKfWmTMOO5PiUMaaktump7cHo1iUP6c4QiFJFYdNtcBT5wHffma9TqQZeONHwIr51utM/q6347tV033yN+C1W4CyTfbrcTZnXhSHDvZlIrWZCvUWlynkljgk5IzbgndObyDNsE0sYk1I1RNCJtNAHHIkWoyd453eqtSoOKSEiwrFIVW/G85lWhxwSxwmUsUjAkcQSOSGirCPWBn3m2S/fpaCnENAfg7w4b3AIyfbq/rs4JSRKCIpjNca4EwcImZWDxihIqurs4LLOLRQHKoiDlc9B2x8y3r9lnrWxNPswfXCC0RkR1wVzin3JRpwZEC/k0gTfw5yxKELe0QniOzk7caISNiseAaAXAtlodW1bCQrrYgXFVbnqsE5IDS1WT93B6vSUAqvCozP77mGCw/jZog+B5Dv1Aux5reBKW+A+TVHHKq0Kk2Ce013Iw5p/ECPQfzvFAnzza2v/xB4++f28QUa6hGNALuX26+j7Uo1FEMThxoaGhoanR/Ve4EVT8qv/+GfzRlHXJdsKpsg0wc0TlFkg/0k3zB/ID/pBpKDLDKipZF1Ust0q9GJqd8ieWoWMPUq87JwI3tg8YtRpwJwSeKMEdjayoKeK2HyWkpx2AHnwmcPAPvWyK379s94a8o4Dr+6fYpGsSi79h8+HvjmDev12sOqlCOHFRX9aNFeNmctDlpwdVvwDgT4fBORXWmkhc++MSkOBedDpLnzWZVScs1EHNLrXME5wCkObTIO+xxifl2z1/6+xWUVJZg4pKSMFyU4wI9RfSfar08VPbYZqjZwoyIs2wA8fYE35aEX4pBTHFaw/9vZVlkRmyoK4J0VVF1zUHGoiji0sEK1w64vWNNbe0Ck+I43RFDyUpWVZkoGPxemY1uimxxoFqpdo1BdKUyq0FC6OCMMYPMI0T2ts1qVcvMag2uA6FmqK8IqykJFwwUlJSkZO3Cq+30O8LCNETSagBJFbq5FJ7cPrThsf9D5fK+R5te1pcC804HtH5qXN9cCXzwEPHAE8NFfvGdHa7hD6TfmuXtKJp9Rr+1KNRRDE4caGhoaGp0fK592R7KUrgN2Gfzhrex16AOOTAEwEmYExts/NS/PLBBPqpOBOIzFgM2LgGe/C/y+P/DX0cAfBgAPnwAsf5LP5wNYAYkWvC5/2d6iMiMfGHo8MHEWC1yf+RDLnTzuNuCc+4HbvgHO/js4gk+F6rDnMGDUafLrFwwFRpwCFI72djyqPqPF+47MOGyuZ2rBR04B7ukL/LYIuH8K8P69wFePye+npR5Y+az4vR6DgXP/qebzyiDcCLx4FbBLYN8SaeGvcU9WpR4UhyrgW3GooOBdSOxKRcQhVWgEiYojGAIChBwPN/GNAclebLSzKlWRccQdj96HbKxK8/rxyjPaxGJEuysOfVqVHtgFfPgnYMti8/K+ForD+krgzR8DJevMy1+/BZh3JrD9I3fHd5t1XLbBXpltBUfi0CLj0IgGJ8UhgGoL4pA7j7sRcWhF7KmyyvRKOK6Y793a1w3iGV9GxMkLbh6jSPUXCFhnP8bBuQZ4/B6twOUc2tzvqdtGbl9rd4FAAMgW2JXKEIfJaFUqIkHjc5/uYFUK8HM7S8Whh7+fzn+oCw1trnTCyOnsecYPqFsOnf+5sirVisOkQwUhgo3xBE21wFPnA8XLbHYQA5b8Flh6f0I+ngbYPXjNi2ze+u/jzO8VjuKvUa041FCMJPcC0tDQ0NDQkMCele632bsSGHwU+7eVvU5attn336louHcV8N/vie3h9nwNPHkOcNHjQI6hKOiUZ5FohJuBV28E1rzAv7d3FSuwfvkf4LIXzBPTWlI4ycgHhk4DfrgSWP8qywbcv4MRBb3HAVOuBEaeIlZdUqTlmLvpmuv4DBovOP33rHPfiQAKpgBn/4Nlvk35njs1axzGAls0KkcqUVIlloCMw5L1jCCuIvmblVuBD//gfn8b3gCm/UD83uRLWMG+vR4mI83s4fXK18zLOcI/IEfquVYckvFBVec0Rxy6tHPliEOLPCU70A5kkTURVZ9m9eSLqaE0sypPROomvVUpKZLFybdYLDGqU5G6IRZj362omJ7bx3zfevunwAk/AYYex/8e7Z1xSK8pGbUVwIr4b9wKrF8oHheXPc5UFUZFY00J8MQMvigWx7dLgSfPZQ0lw78DjDuHWXTZwYtd5FePAUfd4M622Ik4FNmeU+JQSnG4W7xcRVZXZ4Vo3I/FEmdVKouWOuCb14HDLvO2vRuE0szjcvzfLWS8UamIS8s1N5/Q75tTRyu0KgX4OaadVamIOLRDThFQTa41KcVhEqivKAIBpqSLCLINu4NVKSAgDlUqDqnzCPlOe40AJl/KLI4d95UCnPBT5/WcQBtCKUHa5YhDQR53VwadzxsbBT9/EChZK7efxXcDEy8Wz080vKO2lD2371khfn/farFKVENDIbTiUENDQ0Oj88PLpL54ubO9Dn3AsSsa7lsDPD7DPlNqx8eskGksSHR0xuEbPxKThkaUrAWeusCsTqGFk5zWwklKOjBpFvC9V4EfrgJuWQFc8gww+jQ50hCwtwL0g8KRjFSyU0Wm5QCzngJGnMReD5gKDJ7m/lhGAkFE9CQq4zCuJnzsdODPo9h/T5wNrFoAlG1k5DUlDf2grtz+/WqLDK1EYfuH/EOwyKZUpojvmjhMlOKQFA9pccoJKgre9KG0Yiu/TgMhDqnyDeA78CNNAqvSZFccWmQcRpphsq8DFCkOaYHcQFBS4nDxXczGyIjtHwJPns3sfOm1wSkOFat4KLwoDhsOsPvmupetmym+eZWNbfFzPRYDFlxmTRoeRIxlI7/7C+C+ScDzl1mTaQBPnMigYjOzjHWDlDR+/DFCqDikVqU+FIfd2qpUcI4214G7ttubOAScM0tVgVPcWFiVqso4BASKQ3LfSrhVKbWotWkwo41zORb5htEoc+0QNdp8/HdgZ2uWtCVxqPD7VQmrZqbualUa//vpXN/LuOlkVQqwxsYRpzjsJwWY+e+2Blk/cCKClFqVJsG9xkpx3VVB5/PxaIJImDVlySIa9uawoGGN5jpWf7EiDeOgKmCtONRQDE0camhoaGh0fnjpblu9APj7BNbBLWtValU0jMWAV27gO6JFKN8ILLqr7XVHWpUWL2fKQBmUfQMsM9hYch3XFoUTL7AqzKtAv8nAD75i6hIj0nOBU+4EblkJjDVkGwYCwEXzgIJh7o4TtiEOg6lASKCq8nsu7F4G3H8o8NrNwK7PWQ5PXSkjrF+5DvjPd4B6B6LPLUSFw2gE2PYh8MV/gA2vqz2eDHYuNb+m5IpsMc4tcUjz7ZJVcehFVcYRh5KKQwpRQYazKk1ylYKVVSn3uwTUFMFCqfx3EifD6T1n56fW+9m3huXUGItE7a449JDv9vbP5Dre964E3v0l+/f2D4HdAttiO8SiTEH96HSgcpt4HS95hYBcZjCFyN4QYOOXSDVMifqDikObApJVxqEK5UxnhWjcp2NoapZ8IxSFH+LQ6zHdor2tSgEBcUiuGU5drXiscmVVSq4pUeZoJAy8NJe5dojmsMVfAU+cBSx/go3xovlCMuS9iWBln95trErJ7xK/H9O/38v938mqNH782QuAM+4VjM0BYMwM4Op3gUkXuz++CE7P2EoVh0lwznMNbl1YcRiN8POduFXpvlVAjcvmzw1vqvlcGgxfPgKUrHFej0IThxqKoYlDDQ0NDY3Oj4mzvG1Xuw9YcAVvdRp/cOMIrHqmoPriYUb+ffBHYMsiYMcn8lYeACMt40UJ7iGxHYlDN3l28fWjrYoPOinNcbBqcgP6vXsputohPYcnAg+fCxx/u9lGNo68fsDc94AJF4ptFHP68H+/UX1GFW9WxBVnUeTiXNi7Gph/nv3Dgtt8LhkY1ZjRKCML7z8MmH8u8PZP3OfxqQD9O7mCo2SxM1kUh7Qw5LaIQckZT4rDEebXtSW8WoxTHBbw+6F/S1igOEx2q1LaXR9tYX8H/f1TMtzZU9qBy9ttHRPdEln1FazJhe4nDtX2fxT03HNSHNbsA9a+KL//VQuAugpWjPeKmr1MeSgq2FLiRBaia8EJVnaluf3E55VIcRiLebMqVZHV1VnBZRxW8deJH/LPi1V0HEVjvG/rBpTwid/HE2lV6phxmOAmB1dWpURBLGqce+9OppK2QywKvP4jltkqOqdUfr8qIbqPA93IqpQ2lbbeF1RYPHMNhBZqt1AqcPT3gfwB5uWXPgdc+iww8HD3x7aCUuLQoXEvGZpUrMa/roiqXeb7fUomkNd6TtFmQBnYjZsa7hCNAMvmedtWW5VqKEaSP5lraGhoaGhIYMg0oM9Eb11ZiAEb3zIvslIcfvI3oHgFECMFRbdFpJZ6YNM7LANOlGcRz69Sieq9jOBsPMCKmMNOALYucbePAztZZ2LhyAQrDsn36VXlYYe4GiMOp0ypnCKmPKzey3K2qovZedLvUGDMmUzJY7SvMqrPOELJoqOWnguxqPy58MaP1CozZXHEXPb/aIQREmv+q27fU+YAq593r7CjBfT2Ig5lciy9wI/iUFU2V3ouIyyMBdPKrUD/w9peSykOqQ1XU+ezNwulseKekdhvrlNjU2aFtGyzdV5zPVOFeemE3/0lU5sPmJp4+z8KjpRxIA7XvOCugSLSBKx9iakr/aB0PWsKGn26ebmXe9GAqeKGFCdkF4qXi9RNAH+9NVSy79duvKC5a3F0a8UhtSqt4s9TP6SVV9IxqxAYc5bzeipgpbihxLnKRgM69nBWpfQ+pnCsisV4heH614ARJ4uzYZ0a52pKWDa43MGBD/7Azou6MvNbyUoc0ntbxEpxmOT3cq/gMg5brwsVFs9uc+9ryTnTe7z7YzrB6p4ThyurUptzOpTGsuU7Gt3JqrScWFz2GtH2G3i5zyXataI7oXwTq7t4gVYcaiiGJg41NDQ0NDo/AgHggoeBeWey7nC3oLlJ8YcGasNoZX1GCxoyiBfgReqaWBQIKLKkKt8CLLkb+OYNM+EZTLXOi7JDnDxpT8VhIggxms1nVaSlyOvHunwpaGahreLQ4sFZdC5EI2JbUyOKl7P/2huHXQEUtlrafPQXtaThoKOBc+8Dhp8AvHi1/HahdD77RVbxSUEfgGv2AWWbgKLR4vVpUTVhVqUuyKKWev4691q47jXSTByWbzEThzKKQ67g2MIXZWjGT7IhEGDnhpHIa6pJHHEMCBQO9d7y9uJY/QIjtDgVT4IzDt1alVZud3+M/TvUFPpWzOeJQy+q7SOu9Xb8HAurUlG+ISBQHFbwloqp2ebzpmE/I6HpXKc7Kw65hpFqNc0Xfrc95sb2y/+yKpxztt+JVByS7zxRVqWV24H/fg/Yt5os38KyYftPAWY9CfQY3PYe1zhHrsmVT1srxUTY/RVQKJhXiLKwkwHd3qqUzvdb7wsqGi44Fxqb86ilgbcrt7pv+EFmATsXqR1/HKoUh8lgUwoIGty6sFUpjR0wxhL0m8SavWQs5eMYdryaz6Vhb5ftBK041FCMJGjp0NDQ0NDQUIA+hwBXvQX0GOp/X/GHBlmCwdMxWh8ohWSRIrvS3cuAR04G1r/KqySjLfwyGcTtnJwKJ35Au1cTQhySLt0sSeLQClRFaFIcUkLJDXEocS580wE5gmPPBmb8jf27uQ747AF1+87tB1z4CPv3uHOdu52NmHAhkK1AcbjiKeCJs83LWuqBfx3BLGGNOXEH36f5T0mgOKTF15RM7yoAaldaQTqVqeKQZq4BYgsoeo53hmKjKOeQu84VKw7p8fwoseNKs0SqeESgikMnq9KAh0fVQADIH+R+O4qyjfyyZpfE4bATgIkec6YsrUot7rWUqI80A/sJ8VowhM9yqxbkHFJrtmQp6LYHRKpYlcRhSoZ7O+YJFwHH3ur9mG4hUoYD3ptwZEC/dzrvS4RV6YFdwLwzeNLQiD0rWFNitSHry2n+u3uZ+89ilWWXjLAkDru5VamKhgvaOCU6L+Kg5EBabmJUqoEAa5q0ghvlsd3na6/GCCdwjRNdmTgk8/h4MyjAftdDZ7vb3+Fz/X8mDQY/84y60rZoGQ0NBdDEoYaGhoZG10HfCcDpv/e/HyurUpUYMIX9P1HEYV058OwsbwpMK/Qc3pYNSBWHKolDUZFcNeo9Kg6tQAurRsUh7dK1enAWqUxlzgVKgqrCkOP4ZYEgMPPfwKyn2ooi615x15EKWCtqhx4PzP1fW3d/KBU45345AiFvAHDKnfxyt8ThB38EXvsBUGdh9bLtA+DR6UDpN+bl9HdWVWy3yhMyLWtmxB0t3KksePcaZX5NCw4020RoVSooyHAqhU5giCJSRXNki8ICHj1eS72/cTH+OyQ6N4yCqrmcxg0vmW5FY4FJHnOPjRAp8t2oPEdOBy551vv5bEUcWuVNhVKBdPL9lq43v87pDeQPNC8T5RyqyOrqrKAEVizKE0V+xtFAgN/+0MvF62YXAaf8Brjgkfa18LPK1U2oVamD4jARtspv3Gq2mLdC9W7grZ+wf0cjrChrBHXccGuvDoivsWS1KrXMOOzmVqUqGi7cWJXSub8XS2xZ5A2wfs/NeGhLHCYJUd6trEptFIcAcOwPgWxJFeuU7wG9x6r5XBps/uvVzSka1nmTGkqhiUMNDQ0Nja6Fsm+c13FCvOuR2nepQu/xwKCj2L+DIQAkP0UFcbjscT7Hzy8Ov7qteEULaUqtSmkBKRGKQ5px6FdxSB6G7RSHllalQZ4gk1GFpios3sWRnsfsuShiUWbfZyxi7rXp1rfC1DnA9P9jSorxM4FpNwM3fALMecNsCQYAo08DLn7S/u/sNQq48nVxV7QblcTmRcAHEs0HDZXA87PNBQUuy1LR+EGLKfGu9mgEWLeQKSPv6Q38aRhwTx/g6YuAje+05hsSYsYXcUgKCtTiiD6kihSHnFVpc+ezKgXEqmiOOFbYPU/PpeY6f+Ni34lt+zGiIxSHsZj1+hMvckfApuUCh8xk21HrTrfoOZxfRr+v2S8Aky5pI0RTs4HRZwKXvcje83O9uVUcAjxZX7rB/DqnD08cihSHKrK6OitCKTyBTr8jP7+raPvhJ5pfp6Sze96t64Hjb2v/3K+OsCql3zm9d3nNKrZCxVZgy3vy6294EzjwLWvKMzYVBFP56y7HQ+Z3Zj6/rLNYlVpmHHbRhgMumsCCOPTy99NGEzurUqo4lCV4vMDO+cNNw5HddZss9xlu/BM063UV0AZA2iCY1x+44mXnMe2Q84Gz/qr2s3V3hFLZs7JX6JxDDYXoBC29GhoaGhoaLkA77L3goFVpAggZAPjOz1nXeRzBFPPDYcQncRiLAcuf8LcPih5DgcHHsn1Hmvk8s1wPhRIrJDrjsFmQD+bXqtROcejGwjIQMhel7GyK4hhyDPDlw87rucFJv7RW+VUXmwtlbrJ84gilAce5sF4bfy4wZBrw9VPAV48BVbva3svrD3x/qbUtlJuC49L75T9T5TZWTDxkJnvNKUsTlXHYyLJGn78M2PGx+b1YhBVDt7wHjJkBTLnS/L5K4rB0A7B7OVNPBwK8ValQcSjIjuGsSjsBcShSRdNik9KiuoA49DouBlOBQy9j/6bkY8IVh4Q4jLaw89nqu8osYA0rn/9Lavebh16C/KZU9M7LAC6aBzxzsXebMWrRFY3wSqIhx7DGBoDZQqkkeCyJQ5sCblZPsz2pSHFIf+MqkVWpgqyuzoyMfPP1Rb8jv9cJJdCptWXfSW33lY4AHYPjhAg3l1E0R26sBvZ8bV72zZvAwCOY1W9qFp/l5vc3WPuSyw1izF1h+HfMi3P7mufzAHDIBcCq5+R3nZbDCvbffm5e3umtSjvBvdwLrDIO6b3GCxFGG6fsngc55WsiFYcWSnfAXcN68k0tAAAgAElEQVSR3bwoWe4z3UVx2FzHN8XQSAKANZrd8Cnw1SPA0gfMz895A4DTfweMO6/9G1y6A46+AVi9gLedFyGzwNzAWVsC9BmfuM+m0a2Q1MThli1b8Nhjj+GLL75AaWkpsrKyMGHCBMyePRvTp0+33K60tBQPPvggPvroI5SWliI/Px+HHnoorr76akydOtX2mG+99RaeeeYZfPPNN4hGoxg4cCDOOussXH311cjIsJ68+TmmhoaGhoZClKggDlsfGhKhODz1bmD8eeZllDj0qzisr2zLsFKFAzuAR09iakma2ZSa7b8D34hEZxxSm9K0HP8FGjeKQzs7Hi/nwpgZrBtUurswAMBG5XPCT4GjbhArUQBWRI0rlgB7CyMrUNWLDLILGdk44ULgH4bj11W0KnctIEscHvgW2P6hu8/09VNtBV6qOFSlFuCKdM3Ac7OBnZ/Yb7fxTf6c8HqdRsLAhjfIsibg0ZPZuXDcrXwzgTDjUPC3dMZio0gVTccAlbZbtEDvx6r08KsYgQS0v1VpSjq7vxoLrE019sXE6f/HnAS2LrHd9eLIYbh+9fGIrV2C0w/pg9tOPRwjr3gFeOX7QNW37j5nj8HAuHPMy6hyGTArQVUXzazmH6LrKg6qsizfZH6d04cvbhubMOJQkdXVmZGeB8Bw/0u04rCYEIeFHix6VYJTlLWO0fQaUDFH3rkUWHA575DRuB94/YfAB/cCFz3OWwf7HauMmYWy2Pk5sP4187JAgI3/xnnryFOYrb9MsRcAJl8q/i4TGZfgB5bEYTdRHMpalXohwqhVqd0zQC2xKk2k4tCOOHTTQGB3TieN4lDQ4NYVQbPas4uAzB7idXOKWENpKA1Y8tu25WPOZGpDjcQgswC44hXg6QuByq3W6024EGg4AGxd3LaMKpI1NHwgadsCXn75ZcycORMvv/wyiouLkZaWhqqqKnz66ae46aab8Lvf/U643a5du3D++efjueeeQ3FxMTIyMlBZWYlFixbh8ssvx7PPPmt5zD/+8Y+49dZbsWzZMjQ3NyMQCGDz5s247777cPHFF+PAgQPKj6mhoaGhoRDhJt4+Twb04TYRGYdDjmP2Zcf+kH/PzYOiDLwowGRRuh5YfJd5mUq1IZD4jMM6xfmGgMuMQ5vzysu5kJIGnPQr5/XiOOMPLH+Lou8kYM6bwMm/YsUwSnjGQYuoEy8CZ7drh0AImHCB/PoUeQPN33ekSVz8jkPWqpRa9sjAuA13nAQqDp1IwzhoQZoqXWQQaQH+ewWw6Dfi9/etAV68ms/bkVUc0qJMZ7Aqlco4VEgcisZEOi7G82ftMOp04DTDMxSXgZlg4hAQ25XaISUNuHQBcNxtwkzgA7Fs3Bc+H9e33IowUhCJxvDWmn04/1+fYhnGA7d8zbIGJ1ws1+SQng989xn+XG0m13dKhn3DglfEYsAXDwPzzhS///iZwJoXxe9RUpEqJHP6sPHTCFGDiFYcml/T+4vf64QSh/vWmF8Xjfa3f7+wKpyrtiotXgE8dYG9rX7NXqYcNn2+NP9ktheSYtNb/D31wLeskWnr+23LgiHg/Ifl7gGFo9mcS0RGJ0vmGwXXANQ6znBNQF2VOCRzyPhcWUXDBb327J7nOMVhBxCHqdnummY6ZcZhVyUOab7hKPF6RnB52xbPiRrq0HMYcP1HwOl/4N8begJw6fPAhY/xbhTaqlRDIZKSOPzqq6/wq1/9Ci0tLTj//PPxySefYMWKFfj0009x8cVs4jh//nwsWrTItF04HMZ1112H8vJyTJ48Ge+88w6WLVuGpUuX4rvf/S6i0SjuuecerFq1ijvma6+9hnnz5iEUCuGOO+7AihUr8PXXX+Oxxx5DUVERNm3ahJ///Ofcdn6OqaGhoaGhGOWbzERLWrZzwSujB9BvsnnZQatSRcRhj8HAVW8Co04Vv89lWvgkDjN7un8AS/VRCFOZbwgkPuOQFqn82pQCAsWhR6tSWoiWsSoFgKlXAif92mGlAHDGH4Gjv89yBSkOuxwYelzba5HCBuALzQVDgbEz5D4nwBS3dt3LTggGgZ7ETseO9FOdjWQFWqRXpTjkxjAbtagTvChl/ncHsPEt5/WoIiSzgF9HlI3UGa1KZTIOVdrMUTVKSz2vFux/GCse9Jkg3kevkYxAixczYzGB4lChctwK1K60qcp5m5Q0YPpvuOv+/paZOKrpX/h7+GKEiZFOTVMYc59chtK6MBufLnoUuHUdcNo97L4vwsAjgbnvAv0m8e9Re+tEqYE++jPw9k/548XRUAm8NBdYMZ9/zynXMac3kE/IU5FVaXdXHNJztHqv+bWXBgy77WlhuqMVh1YZXyqtSmMx4I0f8eOmCKptSgGg/xT/+4ijoRJ4dhaww9DQM/gophSxywYbfAxr1sosEJ9TKu2uVYLLXW42/z+OznAv9wIrq1IVDRei5kGrHGAu4zCBVqW5FnN2t00UdvPiZFEcWimu/aCuAihezv6jtv4dgX1rgOUkx15kU0phpbbVSCzSc9hzPsUVrzDVZyDANw5o4lBDIZKSOLz77rsRjUZx/vnn495770VREbsJFhYW4p577sGRRx4JAFiwYIFpu9dffx3btm1Dbm4uHn74YQwbxjpvCwoKcPfdd+Pkk09GJBLBfffdZ9ouEonggQceAABce+21uPzyy5GWxibMxx13HB566CEEAgG8//77WLFihZJjamhoaGgkANSmtO9kVgQcdqJ4/TEzgGsW8w/Bqq1KnR46VCsOU9LcW4cMP9778XJVE4cJzjhsF8WhjVWpK+LQxblw4k+AKxYKVTnoMwG46m2WlwCYcxAOfk5CFFo9EIoKzTP+xghyJ/QcDpz1Z+f1nFBI8vbKFRCHlIyUgXEb7ndOkOLQD9wSh7VlwLLHPBwnT1w0FGXHdEqrUoECkLOqTaBVabPAqjQtm6l/b/gEuGYJcPyPze9XFZvHk7CAtE1GxWEcsRjXtPBC9EQ0wZrUqmpowfzPdrYtCASAaTcDt30DTJljXnnwMcA17wG9x4l3RhWHiWhA2PUV8L7YVYfDG7cBlcQKUaTyNSKnD28TXV3MF6ZVWO51ZtBzlKp+fGccOozDHa44lLQq9UNs7V4G7PXYWK1inBp/rri5xSsizcDCG83NXkOmAT9czdSHw09izRtF44CJs4A5b7E5WbzYS685QH5sbG/QRoKDisPuYlVKng3DjWwM5ZrHPIybovmPVQMhdXnoCMWh2/tgMGg9N0oaxaFFxqsX7PyM5ZH/ZRTwyMnsvz+PBP77PWDXl/4+pxfsWQk8dhrw7+P4aIZN7wCbF4m3i4MSv5o4bD9Qh5CUTHPjOW1S0ValGgqRdMThypUrsWnTJmRnZ+NnP/uZcJ3bb78dv/jFLzBr1izT8ueffx4AMHPmTBQU8BPBG25gxbKlS5eitLTtQlq6dCl27tyJYDCIK6/kmfyJEyfiuONYB/7ChQuVHFNDQ0NDIwEoXWd+3ecQpsK48jXgHNLA0e9Q4NJnGQFhZa/jp5vaCLtMIkA9cQgAR14nv24gCAw40vuxOh1xSC0Vk0lxSM8FScVhHH0nic+fQ2YCQ45pe90osF+nn1NWcQgwu9qr3wUGHG792YadAFz1jhqithchDu0Uh7JWpQVD2Gd0gylXtP2bFo1UKZICAXWFe7cF11XPerNpsirI0kJiuIkvyncKq1KqOKwTFA0TqDhsrrXOJwwEgIFTWR6NUVkXbgB2fWHehxHB1Pbp+OcUh5LF8cYq02eOxgLYF3NQ2AF4/qtvEYkSYiwtCxhzBlnTwW5Zdhzxgy/+Lb9utAVYNs+8TIY4zO0P09/aXMu+WyPoNZ8sSpD2ArUqpVCdcWhEKB3oMcTf/v3CyqqUyzj0MUemmbluoEJxmJrJsnlV4sBOYPN75DgZwORLgO8tBG5eDtz0OXDhI8DQY9lY3XAA+O+VwHt38Pt75TpGMIgavToS9N4WV9p1G6tS2ihY3zrvJvcZL+OmqPHPyq6UUxwmkDjM6c1iBii8XItWz0DJcp9RZVX66f3A42ewsS5meJaLRYD1rzIC73MX93y/2PEpszo3zgONqCsDnr0YWLVA/D5grbbVSDyo+xJ9ntOKQ40EIumIw8WLWaDniSeeKCTiAODQQw/FnDlzcOqpbZZv9fX1WL16NQDgmGOOEW43ceJE5ObmIhaL4ZNP2qwkvviCDZ5jx45Fz57iB65p06YBgGk7P8fU0NDQ0EgAqOKwz/i2fxeSDm4juWJlr6NKcTj2LPv3E0EcDpgCnOxkXdmK034HBHzYH9pZMXkBLaqpzjis72DFoZ1Vj99zwSo8vYEQhaJCFP2eZTMO48jrD5z4U/Oy1CzgiGuB6z4ErnxdXR4mzeKwyzZ1Y1V6zM3yn6FgKDD27LbX3O+skDhSVVBxW/D2qgixIg5FVqWdUnFIHtibagTEsUKbOS5TSWBVSs/rYIgnwrd90PZvun17qA0B74pDkjNXih5ogaDISlBe24yS6kb+De5zOFimcuOIYuKwpYEVE91gNSnw2VmVBlMZkZySxheY6JjO5XUmSUG3vUDJbQrfxKHN/gtHJSY70w1EDR7hZn4+4oc8p/MwN1BBHALAtFuAw69Ws6843FzDjVXAEzOA9Qut11n/KvD4DH4O15EQ5S4D3ciqVJBxKFKlqbAqBaxda7iMwwRalQZD4iZRL2Oh1biRNIpDgTOGW6xaIG4GMCEGvPMzYN0r7vfvFvWVwILLnYm+WBR49UagdIP4fZHaVqN94GTZTWsxtElaQ8MHko443LCBDVLjxo1DLBbDa6+9hmuuuQbTp0/HjBkzcOedd2Lnzp3cdtu3b0c0yrJVhg8fLtx3MBjE4MHMRmvz5rYC05YtW2y3A4ChQ4cCAIqLi1FfX+/7mBoaGhoaCUApIQ57H9L2bzrZNRYBLRWHCgqDgRAwdY79On7sKe1wwk+AM/8kfhAFmKLynPuBY27kM3zcYNk8YOM73renoAVwp4zD8i0s7+nzh4DVLzjnR9SRjEMVxKGd4pDLPkuQVSkAVFgRh4QoFBWhOMWhFXG4xzpzZe9q8+uxM4AZfwH6Hype3ys4xaHF3w24Iw5HnwacKHa8MCGzgOXFGQtjHHGUjMShy2wur9kuVsonGatSq/EqmSCyKlVhUyZ9PAurUooRJ5lfb3u/7d90XFVVjHcCPQep/ZIVqnabXu6RUBvG0RKJ8gvdKh85xaFiq9LaEmtlid02xlwtO3eDnN7MJg4A8hxyDru7VWlHKg5pk1tHQJTxxWVuBvyNcX7GG1VNDoEAs1mf+ZD5ecEPKJljh7d/DpSsdV6vdB3wzs+9fybV4KxsrTIOu6riUKC6on97MKVtvHWDQECugTDcxDe7JFJxCAC5/fhlXlTHSa84tFBcyyISBhbfJb/+ov8DooI5ikqsfIZlscogGga+eEj8nkhtq9E+4BSHZB7BWZVqxaGGOiQdcbht2zYAQE5ODubOnYuf/OQn+Pjjj7Fr1y5s2bIFCxYswDnnnINFi8z+y0Yb0L59rS3TevdmN9SysjYGPr5tnz7WXfDx7Yzb+jmmhoaGhoZiNOznu+aNWUUia7k4IrRIJkEcyj6gnfxrPlOIglrzqSIOAeCo65l9pQgzH2oL267xQRwe2Ak89111lit2v5URu74CnjwXeGAq8NrNrLDy8jXA38YBC28CavaJt6Od7iqsSlVlHFIroJhLq1Iry06OOJTJOLR4IAw3WpOz+4hCzerc8wuacVi1i88gi8OtxeBJv2TWxjkWc7uhxwNz32NWyKbjuFCWuoUyq1KXBW9KMMjCisCQsSrtDMVGThVdK8g4VPj70+JcSx0/Lop+2+HfMb/e8zXw7CXAZw/yY357EYderUo54lBu3A4FAyjKFVw/lBxyUj5yGYeKFYeeCPOAudnETnFoVBnmU+LQrObk5kQ006yrw6nBIpHEYdEYf/tWAVHhnN7f0rIZySFAJBpD8YEGbCurRXWjBRk+5Fjvn09lvmggABw6G/j+p8C17wOTL/W3P1mleU0JsOYF+f2ueZFtkwywVBx2wnu5F3DEoUBx6GfOJkMcUjVRalbiXQNEOYdd0qrUghiXxeZ3rZ1ZRNi/A9i6xN0x3GLFU+7WX/1ffk4LiM99jfYBbbLjiENSl6qv8N78qaFBkHQtvTU17IJ48MEHUVZWhssvvxxz5sxBnz59sHbtWtxzzz1Yt24dbr/9drz44osYNYpZVdXWtjHwGRnWHd7x94zr19WxB+/MTOuJnvG9+LZ+jukWkUgEGzdu9Ly9hoaGRldHZukKDDa8bsnuh2079wJgxdFQfRmMVEO0qQabW8fVYY11MD7e7ti1B83Vq9Fj0wuwogd3HXEHeq19FFnlYiu/GAIon3gdKovOAhzG76HhCIyPKTt3bENjraIHwGgEo0rWCzuFSravxYGUsQCAwaXb4LvM/c7PsKsxE/X9jva1m2BTFYxGlLHmWmzasMFUpMrZ9T76Lf01giKFRrgRWPk0Wja9h12n/BstOeYi6eCKXaa/dff+RtT5vMdml1TASA/X11RiV+s+++8vg3F6v7eiCtUWxxsajprPhe3b0Fgtr1zrt3MlRCXP+srig58HAAYf2Mf93jWVJdhjWKdH8Q5YtVTtWP0pmnryBc5h3y43XUu7wgWoT9D8ZUR6AVKa2gjQHSsWo6mAV2sMqztgvr73lqOpyeEz5RwDzHgZAz76MXL2Lj24eP/oWSid+mOgIgpUmPcxrL7KdJyde0rR6HQcSQyLBUz7buwxEhkHbHIdWxFJy0OouY0QKS6vRq2L3yMj/ygMgUXnsQ32NwVQKjhOrwPVMNI9leUlSK3bb74+Ssstr49kQXbZAfP1fqAMzdFsGBIFUba/GpWK/o6skkoMMrxuqK5EuCVAxpVq7nvLLF2BQYEQAsYGhE1vA5veRjSYarovNERD+LYdvvdetS3mc2DvDpRJHLdw+yoYabFiScXhtMFZ2LWdVyQHm2vM95mmamza8A3L/BUgf9c2GFsJqpui2Kvy+4pGuDHNCY09RmDn5rZxINSwHyMt1q1FFopbP29RJBtGar9i+2qU57X9LYNqDsBIi+7eV466lOS+JlUid389BCXyg9i6uwRhSfGGCDkVNbBqydjTkoOaDh7/eh2oMV+jZftwYONaGP2VwoE0bCWf80BDGK9vqMJbG6tR2cDGnACAIwZm4dxx+Th8QBYC8XlcYASGZxYhtcF9Y3VVYxT7EvIdZSO93wwMXfWc5z2UZgzHfonPVrDhOfR2ozCOtqB0yYPYP3a258+mCgWVVaZnowMVpSjZuBGD66pN88pde0pQH+t640ZaVQmGGV63NFRj1+ZvTNdHJBDCFo/n6EiEYGwh3Lp5A8JZ5vtCesV6DDW8bk7rge0JHjd6RzJBTegPNEZQ4vK4g8MB4fNmZXW91Fwg0ehRsd/07FO1v9zVeFP09RtwSBvmUPH16yiPDnJe0QtiMYyu2OyU4mxGSz22rfoELbnmz8Sf+zXYlgS/WXdA7s7NpnlJbQsOzukAALEYRoXSETQ0fm1d/TnCWQlWImt0GCKRCEKh9rG2TzrFYdwGtKysDNdddx3uuOMODBo0CGlpaZgyZQrmz5+PQYMGobGxEffdd9/B7SIRNjlNTU1tm5AKkJaWZlofAMLh8MFtnbYzbuvnmBoaGhoaapF+wFwYbOphLp/FiPojEG5kXv4AAuThPdRQhqFvz0bvlfcLjxUDkNJQjl2n/Bu7T/gravtNQyQ1G7FACC2ZvVE5+hJsn/FfVE6Ya9mRbdofUZkFFCoO02p3IRgRZxCk1LUp8lI8FG9E6LX+Sd/7iKaYlRyBWAQBw0Q4rWo7+i29Q0waGpBaX4IBH97GddyFGs0P4OEMizw2F4iRDlXjxD1ALAxjIRsikFqVxtydC2k1u4TLQ0TVE6JZCeA/Z9AmuyKlnu98DzbXIK1uj2lZY0Hi1BPNuYNNr1NrvhWuFwyblUJRWSVYMAXN+WYr+kiqtVIkQFQ6UYX2frGguXO/bPJNqC+abLtNbb9paMkyU78Rl/aKjb3Go6HXBFfbAEAkXWz1R/+OQLSFG39jncCqlJ5DwXAD//sr7J6n969guB5BoqSNEiVt1t4vMOj9H5hJQ+M+yPceVW29aYFoqrkpJtgi11iZWmcec4olFYfnjeshXM7dZxDjvlMjgsRyOhZSqCgFgGAI2/o55CET7Bp4rul1JM3aYjOc0Ua00t8gb8c7yN35v4P3ygBRWMS6alaZBej3w7/v71qx274pb5jle+2FGHHBCERbuPlAlLgsbC5vxPULd+HplfsPkoYAmy9/ubsev35vL+5fWoZItNXmPJiC8sk3efp89NpViaYeIxFJc2np3YpoKB1Vw2ZIrZta50KRFN+m1v02iUCMKAmDreMFdy/vouMGncMHwk3cmOlr/hd0fiZMaTR3LkQy3FJV7hAINyJUzz8nZpSvQ1qVTVSAAFGLZ6BokihU6RyUntdOoHOFRG0jD4toCQ/b8ee+zjhsLwSJXXg0hcwjAgHTPA8AQo0kmkVDwyOS9sk8OzsbN954I7c8JycHV199Ne666y588MEHaGxsREZGBtLT2c25paUFsVjMkshrbmY3dSNJGFcEtrRY3xTi2xm39XNMtwiFQhgzJgmsSzQ0NDSSDbEYULwcKPnQtDhn+JHmcTMSBl5qexlADGOGD261WzJPjgctv9c2pyQAoN8Xd6Hf4GHAydew/1qRCqBn63/S+CAbMETODR7QHxiuaMxfs8byrV6hOvQaM4Z9N4oml1mlyzGmV4i3knSLUJrJHmb00AFtWYSv/hOIylnHpFdvx5joJmD8BW0LW8wk2tBxU4EePjs9s6oAQ3xYRjDWdv59Zi4C9B88HLC6py/JBgyxJUMGDgCGSJ4LsRjw4m7hW+nRBvP18ApfrM9JC5rXKbYubg7MBf83bP/Y/Dp/EEZNOtLpU3vHhomAQfE7IK1e/L2Sc2X46EN4qz4r7O4DbGh7WdgjB4VWvx0heYeNGgf0VFQE/jDPdF4MGjICOGEJsO5lZtNLH97PuR85h10B/HOKafHgkeOB/i7Hll5PAvNOY7Y3kigcNFr8PVX0BwwxmAW5WUDUXGDrP3Cw9fWRLMipAwzOUhmBFmRkmYteffoPRh9Vf0deE2BIaUgPhJGeYr5vDRg6ChjZerzGamDhna5sr7MLerfPs0btCGBl28se6QH0kDnux+ZcVhmr0htOHIGLThxrvUJ6nskqddSg3tb3gn3m8TC/qB/yFX9fv/lyJm6PvYy8gHMRcU+sJ17POBu30c9A/qY4egwYjR4jRwDv3Qmsm2d6L7V+H/ov/TWzZ575LyDV3Fs8aMgIYFiSX5MqkVUFfGj99qjxh3nLL4sju9Y0XziIQBDDpk7veMu+crPesiAvGwUDzKqFtOweB8eLXZX1uGPBJzjQaN8k/damagzqW4hfnNV6TY4ZA+SGgPfusN4oEGSWywYrv4I+A1GQyLFq+AnAhjeMHwIyxffgsbdg1KSj5I6x3b1FfkHPwsT+3bKoMzdt5WWnI2/MGGCR+ZoYPHQEMCgJPq9q1JibUVKizRg2yHzNpKZneb+fpmYABqeI4UOHAL1GmNep+9L0MrNwSOLu3xVbgWfmAJXbuLcyqrZg2FuzgVPuBI6/TW5/K4oAgetuYZ/+1vPr9kQDOb+zMtj5LYvdIwB3XCoKevRI7LXdc7h1lIUIKRkYPulY3pJdcO7rGnU7odw8B80r6s+flwUDAUMD79BemcBo/ft0VaxcudJ5JUVIOsVhdja7ICZMmGBpHTp16lQAjLDbsWOHaTsAaGpqEm0GAGhsZIWVnJy2TsL4tvH3RGhoaHuAi2/r55gaGhoaGgqw6V3g4eOBR08BdpsforBzqTkPJJTC5xbEM4tofoENaWjCm7eLMwDcQibPwiv2rbZ+70CrQqu25KD6EgAj7Qb7yJ8pWet92zhobkbc27+plmW9uMHyJ9r+3dLA8siMyFaQcUhzH4zdo1zGno1ShRYjoy7cCmpLWPaZCA37GbEIANEo0FjFr0O3tQu9F+V37CMkdaLyDePoRchp0UNxLMZnwbnJR+KyTmw6jyl5J5t1JAOaoRluYmPapFl8VhsA9JvEziV6rjtld4lQOBK46h2gjwvloWXGIc1Gau6cuUiiHFaacZTIjMPmesF5bfhMqxeIc0xtj+Ezt00WijIOZ51yDHLTxT2w6SlB/PSMMfjZGQ4FE3o9iMbFOOj46JSV6hKNLRE8tyGC61tuQ13MnjiqiOVibvNP8PwqwW+caaGgzy4CFt4AfP4vAFHxOrX7gGdm8Rm2HU1ktTfsxsm0HH+kIWCdcVgwNDm+ay6Ltpkfbwz3tweWbMH+ejlVziMfb0PxAcP86NhbgKvfBcadC1AzvYJhwDWLgZ6ENEl0HivNXyzkLdA5HHYF8J1fyh+jyKahwQq9PWyTCIjmIwD/LNVFFYfC+T53/1eYcSiad9Ln1Jwi78ezQ20pMP88IWnYhhiw+C75nHvLjEP5WIaEQpTx6gbjznZ/zC8fBh6fAexe7n5bGRx6mbv1J1wkznEWnfsxr4pGDVegGYei+yDNOaxNklxcjU6PpCMOe/Vi8tqsLOuHsfz8tgJJnJTr16/fwWWlpdYF35ISdvH07t12UfXt21d6u0AggMLCQt/H1NDQ0NDwia8eA56dxZMVcXz7GfDo9DZyDBAUX1uL6l7Do+srgPULvW1rBH1IcUMWOcHq+wGAA622ljV7zcvz+gNXvQnMeQvIENu82UIF8SkqzAOMHHJr6WL8DurKze+lZqsheChJYCSUaXi8LXHog0SusGlxjTS1fY6mKgi75+nntAu9rxIRh4Sk7pdo4nCU+XXFZn6dlgZwf6sr4pBcm7Q4FEcsxn9fCoogsVgMJdWNaIgSC1ujLSYt6AJATasNMYM8468AACAASURBVH3QtCpYO6FoNHDDJ8D3XgMmXwrkD7ZfP8uCvBAVZOj4G+wExcZ0Oj79P3vnHSZFlX7/02lyZIacgwgSJScBlVXBLCAmxLhiXt31u64/V3fdXVddc0QEJQmiggEURTJIzjmHmYHJOXas3x93mum691aunumB+jyPj0x3VVdNT3fVvfe857wV7HXJZeIiGP2Z9aoQDrVycg1x9YR7EYj+DNKfUR5+L3OfumZof2x+4WqkJ4hFDqfdhs1/uxqPje4i20oCACu6y4mYHqqQQst1RAX55W54/AFsCvTAeM8/sdJ/OQKC+Py9ggNL/ENws+dfOCS0R165Gx4fJQLGSfR+LDoB7PtG+UQEP1AujpxuFGK+mfCKMYLovYaqeY30CHEGOKm/t9/DGceQtZrSai9+2KM+QjMgAAu2ULHi7YYAk+YC178pfjytC9C6H6cAJsxFDh1GiH/mjS2CtBkETPgcuOkDbYJyj1u1CaBRCUCP25S3qw/oz8d54bARFgHpgTeGp4tOjESVOuh5AGeOWkHFhsaHaZ1x7RtAKb8FAsOKl9miEx6RLhzSoq9W4bDV5UDrAdqPe2YD8MVY4Ohy7fsq0e9e9YWDNjsw+BH+c7y/nRVXWj+4VdwHE8TtKSzh0MIsIk447NqVVHTl5ORIblNSUhdVExTxOnToAKeT3GRPnTrF3S8QCCAjgwxUu3Spq1IP/jvoXuRx5swZAEDr1q3POyGNHNPCwsLCwgAZm4nbT4nSDOCru4jDCuAIh7ULr1onBaEc/kn/vkEYsUinkEkjCEC2jOOwIodM+MuoRcLEVqQ3Y4fh7AKKGpLbaN+HhrcwD+gTVUP3qaKEQzPchgArEvjMEg41/L5KMTRBB1J1Cf952mEoJxzyHIf0Z60hHIe06EH/TnaXtip4tQsIPjcYgdKAIF1a7cW0tScw8n+rMfjVldh4RiwSCUFhOhCQEA6ziUuEntAbWXC12YBOo4BbpwF3zJPfVspxyHs/6esdvWgWifDuJWEQjs9Du9u8VazIFXpOpfzIYlnKzwFzbyX31oCEI80M6P6XNSoch2XnIPp+ueKB2FTERzsZcdAXEBAv4URkoN2PcucSZsehw173exwW2uFB73MY6XkXz3n/iFe8k/GsZyqGuT/Ak96nkCWQRWKbTbwfACBO4rt3gpeNKYFA/f0jZUG3vqA/F6GY4XaTug43VeFsqw9owcfvYe+ltdebXRnFqPFqu178fqKA/wRdDBQsFmCcFmHuxxqTLH4P6O9DSnvg3h+AJ3cCD/0G9Byvqp+5+BhJwMCHlLcLMvBB+c9lfaLacXiBCocOF1vgVEONq2lxVQv0a6tyHIZBOHSXA3u+Ur+9rwbYNVd5O6l7ZyS4rQG+41orN7yj717hdwPfTAGKz2jfV474dGDiF+q+k+PelC78dLjYearcXNHCPDxqHIe0cKgyQcvCQoGIEw4HDSK9cA4fPiwpHu7YQSzcqamp511/LpcLl19+OQBg8+bN3P327duHigqy8DhgQF0VSPCYBw8eRFkZf8K4ceNG0bZGj2lhYWFhYYDf34PqZt85+4ATK8m/ea6NQMCYQ05rHBwPO+UmMiuqtDxHLJTZ7GTBNZTSLI7jsM5Rj96TtB0ztQOpwDaKlDtUbW+6UEKFzEqqT5tZwiHjOKzm/5u3bShGHIdFCk01gp9VeoEjCO2o0RJV6q0B8g+LHwu347BJR/KZDlJTyjpKjcSUAvwFVB6MC9ame9HseF4Fxr23Hq8tO4zMIvK6Hqot+VebjsHrD9Qel3MtLM9hXRp2p3kCQPNeQJzMd0dKvOC9n43RcchM2AX2XmCm2ML73NLf49BzslH3FC1sn0lix8KFnqhSWghNbnN+ob68hl1U5T3GRUtUKeM4NFc4bJ4Ugybx4u9HltAU3/hH43P/WCwOjEQ+xAkAXZslcoRDCcehnGtKCSOL4I0RV5z0d8io283nBvYv5j8nBCIj9o13nZaIKq1wax+vVtRI7JPYUvxzcGwq5642m7xDJK1ErqCwPJvcT+m+c1q56kWg61jl7bpeB1wl0weyvmE+HxLCIT2evZCgxS8z7/9qCghpQSA+DFGlGZtZsUKJY78pbxPpjkOjUaUAmf9M/l5+nCyFtwrYOl37fkp0GQNMWSIdvZzcDpg4mxQpyMEUslnCYb2gynFoRZVahIeIEw7Hjh2LmJgYCIKAt99+m3m+uroas2fPPr+tw1E3qB83bhwAYNGiRSgqYm3y06aR3O2RI0eiTZu6RcSBAweiadOm8Pl8+Pzzz5n99u/fjw0bNgAA7rjjDtFzeo9pYWFhYaGT8hzg6C/a9gn2uOOJUUbdfWZUPoerxyEdU5relQh7oZRmchyHIYs3l44DUhRiCUMZPNV4/x+A0+OwdsCc2ALoNFrba/UJET9px6GeSR0P2nEY8NZN9pkIQxnh0Ea9d4IWx6FK4VBK7NYSVVp2TuxKyjsoPtfYJkCSDpFXC85oUvkfCu26NCwcqlxAoHuduuK0OxAAFFS4ce/MLeIeUADcEJ/H/ox8vPzjAXYiGaQ8mxVkohN1nRMXux3ofKX081J91phKbjd7vWsMLgW7gy0AqKSiw8xcBLM7lKPPQj/bzXsYO97G9/W5FtXAiHVqhEMqKi2lLQDA6w9w3U5lUsIEjZaoUqZXrbmuJ4fdhokDtM0V7xzUln1QSjg0gpHYvcaIzSYdV0qnIWihLBv47GpgyZP85zd+APzwuP74fLPgOg7pcQz5/KfGab9eS+6T2EL8c1UhuUcwUaVhEg7dFaTHp1Kfc78HWHAXO3bWisMFTJoHjP4b36Uf2wQY9TzZJpL6BUo6Di+SqFKAHfPThTxGfnemfQXPcUiNN8LhOJRKJzG6T2NzHOpNJWo7ELjxPX377poXnvtAuyHA9W+JH4tNBe76Gnh6N9DjFuXXoL//lnBYPzCtJyzHoUX9EXHCYWpqKp566ikAwA8//ICXXnoJhYXEHZCZmYlHHnkEZ86cQXJyMh5//HHRvhMmTED79u1RWlqKBx54AIcPk8r30tJSvPTSS1i1ahWcTiezn8PhwJ/+9CcAwKefforp06fD7SYDoE2bNuHRRx+FIAgYPXo0+vTpY8oxLSwsLCx0kn+YjQ1SIu8g+T89WfFUGYspBYAOVxjbH2AdNmb1OKR7zrXodX7B9Twlmfweh0EcTmDiLHWLpF3HAgMf1nWqDFKxsgAw+FENr5MA9L2n7md6sm1WlS7PRRicTNVXj8Oik9RrUZ8rNVGloW4HOceh30NEWEEAsnYA66mJaMve5olUcjBxpZSrhlns1+gSohfMpSbyJvW3+2z9SZwrZfuFuAXxQkY0vJi/JQOnsiWqSctzOPFuJveF6nwV/3GbA3BI/P5MVKmXE2/WSFwK9DWK/l6Z2eMQUHC42cTXlf5TjB1LCNQV3JgN7Tj0VSsvkNHCYa2LvFxCIFTtOGSiSmUWPZkiBHMdhwAwZWgHJKiMWW2eFI3x/TlCI0+AMCpiR8qCbn0iFQuptk8UjbuCRAHnyvSdBoDdXwI//0XfMcyCWTj3cqJ6yfWmf/tUJMdqE7Wu6i4hcsQksUVj5TlsgUy4HId7F5IWB2pwlwJbPzN+TIcTGP088OwhMta+6kXy38RZ5LEr/xZZoiEg0+PwIokqBdhxPH3/N3LNpOcBvPsj4zgMg3CoJxpXjSNbag4UKQUqvOufXgqO6NuvpqSuV7nZlFDjqTYDga7XsulHUtB/P7m5ooV50AU0vDmd1ePQIkxEnHAIAA888ACmTCET3oULF2LYsGEYOHAgxowZgy1btiAxMRHvv//++f6GQaKiovD+++8jJSUFhw4dws0334wBAwZgyJAhWLhwIQDgH//4B/r27cscc/z48Zg4cSICgQDeeust9O/fH5dffjnuu+8+5OXloWvXrnjzzTeZ/Ywc08LCwsJCB7p63NUuLtKLDZ5KzoRAg9jhjAH63qX9fGjCFVXKFQ4p92BJhrzjEABa9wfuWyodb2JzkF4tt88xb9Gf97cK0vVaYNAflV/DZif92OJDHBh0lGW8Se4Mu53jpqohn1d6MSUcwmEgwAqHLXqKf1ZyHEKQ781Ic/BHYPooYMZVwOGl4ucKTwB5h/n7mQldZb3qP8C6/9UtqpjtOAwukNHQjkO5OFoJarx+fL0tk/scHVUaBXLdWrZDoq9leTanOtVk4bBGIsJK8APv9QIOfM8+xzg43Y0zqhTgVPtSEYM6PgOyyBVvRCWIhfpLrgWaGXQdnlxjbH8peDGQSq5DXlQppAVCKUGRQYv70WgRggpapcRi2j39EeOSn6Knxrkwc8pAJMZwviu8mOCE5sa+VxeyACCFpONQ53V02wwg/5C6bXfMArL36DuOGfCc4fR4oFY4j3E5MJEnYEsQ5bTj9gEcp2wQ2nVYnlN/UaVaiyV2zjGv0M8VA/S4FRj5HPmvx63mF5+YBc9xKAgc4bCR3Mv1QF//w+o4pO5nfi9QTSWdmdV2IZS2g7SPY+SSKIJIRpVGinBoQlRpECPXcbPWAmiYQiyZ6zEP+rNP91K3CA9MVCnnPkjfK4tOAcueBwoMRNVbWCBChUObzYYXXngBs2bNwpgxY5CWloaamhq0bdsWd999N77//nsMGTKEu2+3bt2wZMkS3H333WjdujVqamqQkJCAkSNHYvbs2Zg4caLkMf/973/jnXfewaBBgxATEwOv14sOHTpg6tSpWLBgARIT+RMFvce0sLCwsNABHU2oZR/aIeCtZCcEzhj1E6WRf5Hu5aUFNdWlWqkpBc7uED/Wojc7QShVcBwGad0PeGwLMPk7oO/dxG3UdSxw5f8DntlPok/M7INED4hD+2zYbMDYN4Ar/iy9f0IL4M6FQPcbxY+HK6oU4Pc55IlvmnocqlyUKjsrnrw5ooHmEsKhrKsmZHGcPnf63H5+TnpSXJoJzPwD+xk0i4Af+OVvxJ0RSkUOsOrfwNuXARs/5FRoahQOGYecVFSpccfhoewyFFfxv/t0VGl0rXB4JCObtzlQnhte4XDrZ8Av/yf9fEUu8M0UErcUCl1R7vM0zqhSQHnx2uxFMLnPLn29dDiBOxeQnjV6oT8/ZmGzcfocyvQWBDjCIbmPGXccaogqZXocmhtVGmTEJen4duowxEXxq/+HdGyC7x4bjp6tOcKWpxLI3ss+7veQ/kZ6iZQF3fpEylmoR7QKBIDtbDsUWbbN0H4cs6DHcn4P+/kPKWR4/MouaJ+mTkh/YWw3ppenCF6fQ7rPWji+e4EAkLtf2z5VBez4+WKASWJw145VqeKZxnIv10N9Og7pMRJdAOmIki50MEJsKtBrvPrt7U6g373K20lGlUaIUK42aUQNeoVDRxRbRGEWtOOQTiJSgp7f6HEcCgIpWs7ZDxSfFre+sOAjN6cL+IlAOIda84AAbPkE+HAA8MsL5hW6WFx0RHQW0NChQzF06FDN+zVr1gwvvfQSXnrpJc37jhs37nzfwvo6poWFhYWFBtK7AK0HAGe3q9+nz53k/7z4S9pB5IwGJn4BLJzMig6hDH0CuMKkOCkzexye2QRs/hg4tBQANRCPiudHlZapEA6B2r5mV0lHFJqJXFQpQBaf2/KLiBDbhIiZvGrnykLxz2ZW6bpixAvgvhq2EtMRLd8DknGfqhzkF1H9DZt0ZH83RcchaieAaSH/DiG1IxUFqjDRc5cB8+8AntyhL/JICkEAljzFilKhBLzA8v8H9LhN/LjmqFKVvU7oqFIdbrMKt/T33kMLh7bahQz6exGkMh+ooirSzRIOcw8Cy2REw1CW/AloNxRI60x+5r2fTF+kRuJSUBIQ5JzFuo4n89nlLaSntgceWgGs/Cew92vt/Xyl+lSaQXSi+DrkLieLSPsXkyIIuxNo2QfodgO5rko4DsskBMKyarU9DmnHoYyAyUQ1mu84DNI+LQ7VXv61//aBbdEhnfP3zjsMzJ9IUgRoyrOBinxyf9GzcHQhCwBSmOk4LDwOlJzRts/xVdqPYxYaokoBIDU+Cl8+NBgPzNqGo7n8cbPdBvzfdd1w3/CO8sfmCYeM08Jk9zxAnPJa2yAAxtsdNEZoUcxXw38fLuTrBuM4pO4dRmI3lYpJ6R6c8c3C1xpg1F+BI8tIv1ElrviLOrEr4h2H9PVPImlEiepiIorpocet6saQ1cVkvl+aRT43LXoCXf4gn/5DxzEbdRxq6XHo9wJ7vgK2fSYWVVPaAwMeIP+ZOV+8kGAKaELmID89q+yY3/wRuVbf8Lbpp2Zx4RPRwqGFhYWFhQWXoY8B3z6gbtuE5kDPWvFATVSpI4oIY49uBLZMA3Z9GSIG2YCu1wGDH1EXx6IWvS4zmrX/A1b/W/r5WTeQXiqh5B1gF4QSwlTlqAU6u59eOAKA0+v5+3qr2Pc0SLh6HAL8hvH0RFhpIqg3traQiqxs0pld+FfqcQiIxUJ6Mph+CdtDUInKPNI3aJBJvS8B4NhyedEwlAOLxT8bjSqVdBxSArEOx2FKrPQim1sQn0cwqjQ92gtwi30FVkw2a7F166fqF1gDXuK0ufY/5GfGyeJm31Op726kofRZMnsRTDaqVOK5xObALR8TZ/iHA7RVhne9Vtv5aSGaEmV+fRE48ztZvA8ltgkw7Elp4VBCIJQSFBlocUguqrSeHIcAsO9sqajdbCgZRZy/YWkWMOcm+X42go8YgmwO9n0OpUkncey1I6p++tVGGpLCoQ7HoZwgbeY+ZsGLlJaIKg3SJjUOS54cgY9XH8d7K8XjEZfDhmVPj0SXZireO1p4KMlgix7CEVXqcJH5gpaeUHYn21PqYoARDj2csZFNfc+0xkg4HYdMVCn1+a+g5jEJJs5jaFLakaSZLyfKfzeGPMbOL6WIeMehSVGlOQr9bOUY/Ij88zVlwIqXgd0L2MLFxFbAiGfIvIt372YchxqTKZgehyqFQ3c58NVdwKl1nHM6Q36fnXOAyYuB1A7azqmxUXwGOPoLcQ9HxQMdRpC2MHJjLakCmlPr1Mdsb58J9JoAtB+m67QtLl4iMqrUwsLCwsJClh63Af3vU97OGQtMnF03yKUnKx5OVGmw0jC1PXDdf4HnjgFP7AAe3QT89RRw11fmioYAWxmox3G4baa8aAiQxZ9V1Da0+yy+qbmRo3pRchwCZKGZh69GeoGciSo1qcchwE6mfDWcCEsl4VDnZ6GQ6m+Y1klaOJSLKhUJh9R7GHSNaWXnbH37SbHlU/37ahYOVUaV0hN3HW6z7i0T0SKJv3DCOA5rhcN+LWS+qwVHxT+bIRz6vcDeb7Tts3s+zqsgPCcLE1XaWByHSsJhfToOFRbSk1sD/e9XfyxHNHD5ZPXba4WuKD+9ji9mVRcRx6TI/W8DkloDMKPHoYaoUvp6GEbhcHem9DWaKxyu/Jd6wcMVB3QazT5udwKDpwKTqPhnI86ZxoykcKjDDaEnRjAc0YNq4d33mKhS9noU7XSgT9sU5nGvX0DLZJWiAO04pHsz2Rzhcyb1vl3b9t1vDOt1IGJR4zi80AsOaJGLHlebGlVK3Rt5jsNw0rIPmQNf9SKQFNLP1OYAut8ETFlK5stq/96NznGoM6qUjilt1Q+AivfoD68QEUmK6hJg1jhSlEfPPQCg/Byw7Dng57+AqUAKBEiqQyhaHYe8IlklBAH45j6+aBhK0Qlg7m3Kfa8bK4UnSBLPe31Icsu6N4hgOuNq4NORwAmJpAGfmy0gCM7ptk7Xdg5at7ewgCUcWlhYWFg0Rmw24Pp3gNEvSLtT0i8F7lsKtA+JvOaJUcxkl1q0dkaTeNTml4Uvus1oVKm3Glj5irptBb/85I5etGko5HocAqRy8dxu6f2lYnXCGVXKm0yFWzgUBODkWlK5GEpaF52Ow5DzZYTDS+TPRYr8I+zkVS/VJcCJlfr3NxpV6lPpONQhGjkddtw1mF/5S/c4jIIPdhswrI3MQgu94GqGcFhVxDqUlaguqhN+mPfTzXd9NwZk30+b+QKo3GdXzeL1FX9WX8U95h/mXhtp9IgvQRJbnn9vpXscmhxVGgiw18MwRpXukREOs4qoe0plIeuslsNTDvSaSPoEh9JuKDD2ddYtHSmLufWNmT0O07pod3V0qYdIeCm4UaXqPv/FlfxF9pyyGu7jDEnUGJROOYhOCJ8gNeBBbY73wVPDcx6RDlNMILCfj8ZyH9cL/fmnx9VGfn877XijHYeUcBhOx2GQ+DRg5HOkDcSfjwJ/2gf8LQuYNBfoeIW214p4x6HKFgVK0HPUbuOAO+afL3xiiEoEbvoAGP60/Ov+8Lg6N+O2GWzhZkWu+PdxRGl3TTNRpSqSLE6sAo6vUPf6RSdIkbOavofFZ4B1bwI/PgUsfYb0X5eb4zYkuQeAGWOAo8vA9IMFgJy9wLzxJMqVhu5vaHeRsZnPAxz5hd1ejsM/AX4DLXEsLkos4dDCwsLConFitwOj/wp0HCl+vP1w4N4fgce3AG0GiJ+jF1e9VeyErCEWyRixSGN14/7F8i4yGjkRR6q/YX2j5DjM3CIft8YTDr01rAAZZ2aPQxWOQyVByUZFO8lFQh5ZBnw4kETU0bGUW6azk6fgz3KTqqCrgOcES9cpHOrpGyRFZYHyNnJodQcw0ZpqHYf6FkAeGNERXZuzC9O0cBht8+CJqy5BqlNmQaOQjio1oW+I3uix4Oea6zikrncXQlSpK9b8xW05wUKNmBGfRu6N6ZfKbGQDrn4ZGPKo5tPThJEeNsl1jgcpgdD0qFLewlikOA5Prta+sHn0F/Z6HrzH8vo+X4xIfUb1FGDY7aR3kxYGPKj9OGZBFz343KodtyXV/O9ebqlK4ZAuXqN7dtIx9mbSpCNw/Vvqth35HNBOos/2hQ7vmkAvbDeW5AC90ON9em5hKKpUYU7ItFwIs+MwFJuNRKCntJNPQZBDar9IEQ554349xY+047BlXyIePr0XuH0uK9hd/ybQ717518w/Chxeqv4cfn9PLMCVUjGlSa3J/UkLvLmuEttmajvG1k9JvP6WT/kiV2UBsPAe4txb9S8ikG7/nLgs3+4OLH9Rv1M0HHirgfmTSCGlHEKALwzT19dgcXVNifY1I79HPl2jPvB5gNMbgAPfAUeXs0XdFhGHJRxaWFhYWDRu6MbjV70IdBrFX7RlxKgKZcdhfWC0x6FUrz89RIrjUKnH4WmJmNIgPOGQjil1xeuf+PLgOQ61Rliq7XG4cy6w4E7pnoN5B4CfnxM/dt5xWMxuHyS4OMhbKG+iM6o0tYN5IorRRWzNUaUqhUOtArEECdFOzHtwMHq2Fi9ae6i25N2bRuOZMZfwI3yD+CkBwAzHYWwT7dXJqR3qPvdMxFk1Kyw3lgVHObEuHAtgslGlKj/Xqe2BR9YBt3wCtBlYJ+jGpQEDHyYFN1c8G/6IOSMitkg4lIoqVbmQQp+HlOOQcdNEh61/V05pDXLL6r679J8ip6wGNd6QMYLc9VyKqmLpmFZaOLzQnUNSSEaV6ryODnwYaNpd3bb9pgCt+uo7jhnQ12m/lxNVyr/HlVTx75GqHYf0GJS+P4Q7GrT/fcBtnwExbOQqAOK2uebfpG/sxYrNxl4X6DH6hX7dUHKcm+k4pOcBjOOwHoVDM2hsUaWAdhHKXc72nm/Zp/b1ncBlNwGdrxY/T/9deeyaq+08ik6K23rQhRgpGmNKAX09Dk9v0H6cohMkznPhPeK0l4p8YOY1wKEl4Dr3vFXAxg/IfpHirNu/mBVtpQj4gE0fix/zUNfX4BqJjrYYABpOpHdXAKtfBd7pAcy6nsTXzp8IvN0NWPQwEcYtIpJGUtJrYWFhYWHBwechMRWhpHWR3p7pcVgl3eOwPjEaVUpXohkhkh2HNaXAnoXA/m+Bc7vk96/iVPXRbrV4E/sbAhKOQ5f8NjRqPgvZe4ElT4M7YRIdn5rMaelxyESsxpH+l3aX9urGvndr216OpNZkYbE8W9/+RqNK1QqHOh2HANAsKQbfPTYcby0/imlriWvQLYjP49K02v5B9GRSDjOEQ7ud9L5b/6b6ffpNqVM/aFGQ937Si2aRitwCdjgm5bJRpRriE10xQN+7yH+CQK4x9S3WGvksqnAcqo8qpcQhXzVZIKTfD1qgN7PghGJ3plgIvLR5IrJLa1Aa4uTKKq5Gl2a1f3M972V0IiemtVY4pL+TkbKYW99Iidt0jLrq10sAJi8GvpwI5O6X3q7Pnepdb+GCue9xHIcS16OSKv74IFu147CF/PN6338t9L4d6HYDsH8RcedWl5DvTKfRQJ87gFgJUfFiwhkjvlbQY5ELXjhUGMub2eOQFj+YHof1EFVqJpJRpRFyr+GNQf0e1okoR85+iOZoiS1ZgTdkLAMAKM1Sft38w+rPIXSfYJwsLV4la4zQBjjCoYqoUtqRq4Wjy4Bf/grc8A75+ftH2ZQd7n6/ABveBkb9n/5jm8XOOdq237+IRMcHx2l0YUZw3BedCDTvKT+moGnZhx3DlucQUfrcblI8ltSSRNp3uMK8QsLKQmDuzfyYXb8H2Pc1cORnEufbaZQ5x7QwDUs4tLCwsLBovBSfFsdVRifLT6DoxVVPZWT019IiHPo8xGFYnkMmWa37EbeIWUSK45BeHKrIBd7pBbglHCFRCeKFC55wSDsOzYwpBfiOQ/pva4ZwuPlj+ZhWKbyV5DMvJzZJOQ5dcUDGRrKgrkU4jEogQpNZ2O3EEbDmv/r2N+o4lOpxSEf1GOx/5nLY0blp3bm66SF78HhyjkMaM4RDABj4ELB1urqom9gmRDgMwvRG4tBYHIdy76cB4VgSuc+uXheOLQy9GNVgJKo0pFdcuVvKcahSOHTFkmtu6HW2powtKmGuh+FzPe2iYkr7tEmBy1GGfWfr7n2ZRVV1wmH74YDNri0SutMoVhizHIdiJB2HBj67Sa2Ah1YC+74Bts+sK4CyO4Gu15FrXoio3QAAIABJREFUa6fR4Xf8KsEr8FAZVVos4TjMVes4dEaT+4ZUpJueHpN6iIoD+k0m/1mwMI7DizyqlMZI8ZBSVGkFFVV6ITgObfbIiam329lxgdo48JJMYMcsYO/X4sebcdzmyVSvw7Kzyq+vp/VDaMxqCSUc6nIc0j0OVVzbY5uwc3At7JgFXPEXcp05/pv6/bZOJz0jG1qUzjukbXu/m6xxtexNfpaKKgVIDPpPz6p/7dAYdJ8H+PUFYMcX7HrDzjlAs8uAWz+tOw+9BALEAarUm9NTAXx1NzB1HdCkk7rXzj1InLU2O9D0UiBNZzqShSwRcnW2sLCwsLDQAR0DktZZfsGF52KLyKhSzqKnpwr4/V2S4U/3t2jeU+MBbZB0qyVFiHBILw7RFbY0tBjGiyqlM/TjTRYOeY5DzcIhHVVKTRLdFSTyRC90tC+NR8Jx6PeQWBEt2J3A+JlAgsnV0AMfIt+DilzlbaMSxZWu9RZValw4yq+oW8CnexyeP4/6dhwC5BoxaS4w/w7W1RpKVCJw5wKxCKM0ebc7G37RXC0R5TgMc3yf2ZgWVWqwx6HNRs4lVKSoKWGFQzqmMUyOw4zCKqw/Kr6/922Xggq3TyQcivocprQlotORn9UdxBlLXG1MUUQNWUSiI44besGtoZASt40KV66YOkHKU0nuHdFJ2tws4YZX4EH3/5QYy5RK9DhU7TgEiMDa0MKhhTz0PY4RDiPo8xwOlMbyZkaV0gWuDdnj0Ax4YxlnTGSN/RxRlHCoMKYI+IHfXqot7OSIeyfXAdtmkPlLEMZxqCLKMrWD8jbMPu2lj5GsQzhkimRVOA4vHas9ZjUUIUCELDXHCqUyHzi2HOh+o/5jm4EuwTekQJh2bIbeB/vcCWyZBhSoiPls2o046gHiZP76XuLolCLvIPDFOOC+pcbi00+uJsXHavCUAxs/BG54W3obQSCuzE0fsglU7YYRsfjS6/SfrwWD1ePQwsLCwqLxQvd3k4spBdjFPi9POIwAxyEdS1NTCsy+EVj7OjthBLRFVABA2yHSzyVGaFSpVrjCIT3ZNlnQ4k2mtPa+UxKRSzLYhV0tFJ2Sfz54vvR5a22kntYFmPxdeAbu8enA3d8qO0bTugDNuokf0+oEpBdzpYRDxnGos+9ECAXldcdyg7PIDzSM4xAgrpgHfiH/Z7ABXcYADy4H2lHXGruDVIVK0VhiSoH6Fw5lexw2ssV0KTeXGkLe2zKjUaW8c+Fd67zU98ygozgUQRDw095sjP9kI0b+bzUOZosXiOKiHGjTRHw9EQmHAHDV39W7IK/8G4laDLotQ3GXsa5qNS7hCxGzexzyiIon97NIEg0BfgEd8x0Ik+MQkI8rrY+oUgtl6M8sE1XaiO7leghnVCn93oXOAwJ+1rnV2ByHDhd774m0AhW1RYMAETGWPE1EDCmBSPABP/0Z2PxJ3WNJOqJK+96lvE0oCc2BzlfV/WyK41BHj8NQwVQvZ7cTZ5lW9OxjNloFX5tdHCPLRJWG3Aej4sicWMmhl9aFbBf8+22dLi8aBvGUk16EAR1JRz4PsO9bYPHD2vbbu1B6fisIwM9/ARY9yG9bk7ERWDAJWPO69vO1kMQSDi0sLCwsGi+M41BJOGykUaWL/0gGzGYQmwpc/Xfp5yPVcagVnnDIRJWGuceht4Z1ZGl2HJrc2F1pAhVcHNRa1RkkpT0w+Xvg8W1Ax5H6XkMNLXsDj6wlES3MIr4NGPEM8NAKdqJj1HEo+PmTpzA7Dj0CHVVau4hBTyblMHPBGyDVp/f+ADyxHRj3JhEvxr0JPLUTuGcR0Pwy/n5yQkRjWmyMkosqNS4cs8eTuSY2osV0nz+A7dkGrmvzxgO/vwcIAsolnIXlNV4IgkIP2CBSvf5CYRyH5jg8AwEBL3y3H4/P34kdZ4q52zyzcDcKy8WLlpm0cNj8MuCuhSSuXY4RzwLDniL/DrotQ6kp5TgOI0zUqi+476Wt8bl79WB3ADaH/DYS1zjDPQ4BeeGwsRVJXKhc9I5DheIRQ45D/pwwo7AKH/y0RSROBWxO+JWu+5EI/f6Fo9jKCFqEw6O/qnfT/fr/6uZhdFRpVaGyCNe6v3zxL82gh+vG1YJgjuOQ/tvJJY8EadUXGDxV+7FEx9FbNBsBTta+d2rbvut14uQLujCDns+ltgceXg2M+isRi2mcscCDK+qE4kCAuBTVUnyKODd5VBUB2XtIDGnofSD/KPDxYCLw8dZk5PBUSPfz/P094t5VYs2rwO752o5rIYkVVWphYWFh0XgppJpjpysIh/Rg11MVGVGlTD+LkEXVc7tIg2+12BzS/e+SWgN3fgU078H2bwDI+xOTov5Y4cSoo4PrOKSEQ7OjSumJr6+aFQKN9jhMbkNcWVr6DIZSrNNxqJbSTBIZbK+H2rTkNsAN7wAjnwPeDu0fIgBXvki+V3TFombhkCNy+T2AXaHi1gThKL+8bqGViSptaMdhKOmXkP/U4oiSXmhoVMKhnOMwDNXzF0BUaW5ZDR6avR1R585hkd63SKiNBPN7UV7Dj07y+gW4fQHEuBTED4AvnjEvyOn5agLvrjyGBVszZLcJCMCinWInAuM4BICOVwCPbSJV5Lvm1t0DbQ6g+w3AoEeADsPF+8RQMa3uctZxGGkLuvUFL6o0OjGy4vTCiTNapoDIplk4LKhww+sPwOVQMTaQS75oJNe6Cx7FHocXunAYRschNQ/weT3469d7sHhXFroiA0+GvHReIBG3v7UO793RF5e3S9V/zPrGFSt29zdmx+HWT9W/ruAnrRau+Te5n8SkkHj0IKVnldcyxn8GzLwWKD8nv90l1wDD/1T3c3UxJUDZyLqAVuge3qHzn8IT5Pc7uZb8fWNTyXn0vw+49lUyD9//rfZjAuTctfYKBID0rvqOZyZ97yKpUbzxJY8hj4p/pq+vvMLF2BTgyhfInPjsDtJeJLiG4KsmqUtxtdeIzC1AyRltv8OeBSRyNsjp30k075FldetOjmig521Az/HA948pt5mRgycUeyqB9TIRpjRr/gv0nsSuxVhoxnIcWlhYWFg0XjQ7DukehxVsdX2kOQ53zNL2WoKfjQJs3gO48T3giW3EqWV3kB4yNIktI2dRzG43VllexemPQ4uJSlGXWmEmUzXaBSW6yp8WgWOSgMtu1nd+gArHYZX4/1oRAmQyUZ8ktmS/t8HFcKML/nYHmGpV3mSGFsJMWGwvqKhbqPAwwmHtOTREj0OjyDmYGlNUqZzLTymSWA+yUaWRv5heVuPFPTO2YN/ZUpTDBOFt1b+RXnNa+ngSvdYY1ESVMgUIxs+/pMqDT9eeUN4QbEfizKIqvqMyuTXwh38Cfz4K/Gkf8ORO4PkM4PY5rGgIsKKpu4yNXb7QBQApHC72fhEp19D6QK6IwxXHHSt6/QFUuPluYkEA8spVOkZko0ovor9BJKPoOGxE93I9KDoOzYsqXbY3C4t3ZmCUbTf+45zJbF5elIM7P9ss6VqPSOi5UKQVqNCfXynhsKoIOLFK22vvW1T3b7rPYZmKuNKUdqQVQIve/OdtduLum/Sl+Peg3YaJLfUlCtCffW81abGy7K/AB/1IZGvuPiJMZe8G1r0BvNsL2PC2vh6NQc7tYpODlEhsSVonNDSxqcCEL9SNp0b/jU3soa+vcvMPh4u0iWjVT/x45ua6f5fIF6xxCY25XfcmMGsccHipeJ3C7yYC45cTjYmGAH8ccOA7wK1SfAXI76n1+2nBxRIOLSwsLCwaJzVlQEWu+LEmneX3YRZXBTaWLNKEw+w92l8vtMeCMwZ4ZAOp9gv+/gE/X5RzuJQbwNcnRhbDG6THITUR9lWb0OOQ4x4d8hhUR6/Qn2elHofBSD69jkNAm5hlBjYbGzsbdJcaXfC32TiVx5zviNf8Hof5IYusjOPQLyEcJjSCiDe5a2xjWmysd8ehzPEi5W8rw/S1J3EsrwLxqMZ19q0mvKKAicJvks9K9T9koIVDXlQpU4BgXKhdtPMs3D6JfkgKVHr8KKqUcUA4nGRxMa2z/AIT73enF0gjzQlSH/g8wM457HtRVQDsnBtZ46RwIXed1ug2DJKjNq40USYyvxFc6y4K6OsC0+PwAi84qEfHYWlxARZF/QOzot7AAMcx0XMtbMX4PfppXOPfgKcW7ILXr++eUu8wUaURdp9RM+4H2HUINVTkkEoKgBUO1fQ5BEjkZO9J/Oc6jgLGvs6Kgmb0NwT4PQ6XPi0ffSn4gVX/BrazwndYGfIYm+rUUHS5mrR3kFoHcEQB178FjH6efY6+vqq5D9I95jNChEM9DrzgdWnHLGDVvxQ2VtkqQIpWl/N7NmbpaNuTtc3YuVgAsIRDCwsLC4vGCu02TGyp3OfJ4eI4k4rZbeobOeGQjg3TSmoHcWxk0Ulg2ggg7yC7bf5hUi2oR6wMB4Ych4V1E7MgTFSp2T0OOY7DcPQ4bNMfuO415fNxxgCXjhM/Rlec0gvHQcFQSwQmTWwDxCXR7tEqKeFQx2eKXtCgXcoA69IxKBy6fX6UhjimPIKU45D6/aRc11EJkRPVcsEIhzKfpbD0OGy8jkO3z48FWzPQyXYOy6Kex7OuRco7qeB6x2bJ56T6HzIw4hmnmjkMjsPtpzmueA1w40q1wnUcRkAKQ0NSVUQq6X98kr3/+tzAj08AX4zjpxpcSMg5piQ+/6XV8uNV1cKhXK/tCL/WXTTQ46KLLapUqQjQkHAoHgdd79iMfvbjEhsDcTY33o/6EL3L1mDlIR1CVkNAj5GMODTDAS26STkO9fydHdF1jm29wiEA5OzlP16ezX/cjP6GAPvZr8wHds1Tty+95pLeTd85qKHnBGDoE+F7fT207g9JUa15D2DgQ/zn6H72apz3csJhi17K+9O06EnGQCuVREMTGPRH/uN6+lzS83MLXVjCoYWFhYVF44Tub6gUUxqEXnRghMOGcBzKiEW8SFEtpHas+3fpWbLgxRMNg5RkALNuBHJltqkvjCwQBbzsQgYdcWJ2VCnjONQRVarU4zDIkKnA+JlAUhv+8y16A/f9xE4OBKoame5v4a1dINfrOHREA52u1LevEWgRuKqQuDVpkU9PbzI1kUWMs9RY7FJhhfgYbI9DN/n9aCdUmoTrOpLi3eSusY0pqlROOAxH9bzc9TDCXTi7M0pgq8zHvKhX0c6er7yDSpqiFFKLMOVqHYc88YyG/p6ZIF5UeyV6EavEFOGQ7uNXU8ZeMyPNCRJO/F5gwR3KFepZW4Gv7iLxbBcqSlGlHIqVHIdlJjgOlQoELeoHReHQ2L28oMKNj1Yfxy0f/Y5R/1uNse+txytLDuJEfj0nWkihNJY3MpekHFKpNnWFfP91zcBPO6QFxoih4BhQRolbpZmRMe8MQv/9pASL5Hba55Kt+9f9m56DaREOpYp8SzLYwtng46GY5Tiki3JVYwOGPyE/Z6Rbr6h6WTvpc3/bdHHhdCRwbre0kJV/FAhIOIaZqFIVc7q2g8U/F50AKmrH300vBdoNVX6NUPpNAQ4t0R4Xq5VuN0i7aROba389uSQeC9VE2DfJwsLCwsJCJYXiuBbVwiEdMRbalBxoIOGQmmCHikW9Jmh7LXoRNDTq4Ze/SlcihuIuBZY8pe244cCo2FFVSAbhh5YAs29kB94Zm/lRoHrhNYzXLBzSIrLM+fWaADy9B0igBtI3fQQ8sg5oM0DZ/UcL08Hz1Ssc9rzNfCenGuiJe2UB3zWpSzikHYecxVGTHYf5VC8oblQp7/drDMKhXE+VxuQ4dMVKL2qEo8dhI44qLa7y4jHnD2hlM9elVYMoSMU2l6l2HNLimQrHoQlRpekJxgS5rGIDcdJBuI5DqjAi0pwg4WT/YiBzi7ptMzYBB78P7/k0JLJRpfz7qHJUqcrPbHxTtt9zkAi/1l000NcF2hFjYC41e+NpDHttFf736xHszizBmcIqHMouw+e/n8LVb63FC9/ta/hIzjBGlQp0AaFKUmyV6Jq/XPdxw04gACx/EfhwAFB+TvxceTbwyVBg6bORUZChNqrU4QT63avttQfcX/dv2vWnVjj0VAEFR/nPeav47Tpo4VCv45C+/tPJOqoRgB+fBoY9CTy0Cuhwhfjp1I5ssauqlw0AQx6NnJSVUDI2ST/nrQRKJXoP6okqjU8H0i4RPxba53DEs8qvEaTLGKBVX+D0evX76OHyyaQXpNTfrsdt2l7P5gAuu9n4eVlYwqGFhYWFRT0gCMDJNcDKV4CfnwNWvwqc3WnsNemoUt2Ow0gQDmX62l12CxDfTP1rpbQT/9yk1nFYmgUc/kn962RtM/43MooWV4cjmhXQSrOA+ROBhfcAp9ax+3z3R2DebfyeVnoIi+NQQdh0ONl92vSvi8FREg7pyv7zPQ51uFkSmgNXvah9PzOIp6NKCzmL/XH6qk9pMYtXeUy/XwYdh7Rw6KGFQwCopkQYVxxbvRwkkoRDWcdhhPQiUYPNJj15p4sIzKARR5UmOTyY4OBcgw2yI3CJ5HOqHYcNFFU6rpe2KmiHXSyQZhSaEVVKXRdqSjmOwws8cjAUrf2XttVzv6b6RO7vLnG9Ka5SiCotUxkzZnew47nzx7aEw4iAHuPQTm2dc6mZG07h5R8PwCPT/3X+lgw8s3A3BJ6rqr5QKkLT+fv7/AH8uC9P174AMNyzUfe+YeeX54GNH8hvs30miYluyL8toC5pJMjgR4DYJupet1kPoPtNdT/rjSrNOygvqhWfYR+jo0pT2qs7Fo2Z41vBDyz7K9C6H6e3n4HPQP4RQ6cVNuSEQwDIO8R/nHEcqrwPtqNch4d/qhvjdr0G+IOK2NHmvYDbPiP/NtLGRInuNwE3fyg/9mjZG2g7RPp5mm7XA8kS82ILTVjCoYWFhYVFeDn6K/DhQGDOzcD6t4Ct04G1rwOfXQlMvxI4u0Pf69LCYbr0AqIIesEvEoXD0MpGVwwwfoa6CL9OV4JxXwSjSg8t0V65d+A7bdubDb1AxItttbuAXhOBh1eyounyF4HjK+SPcXIN8PVkc5yHvIbxTISlSVGl9HFExwipdFZ0HNJRpUHhkHrNbjfIfzdS2gFTlrCT4PoijnI5VhawYp4etyHA6XHIqTz2mus4LKgQL7B64UBAoL7bdEVxVDyQKCFGRJRwKFOJ39j6IkkJdgaFYy6Sn19beHoqmkgf+3Ek2UwQuijm+cdIPqe6x6GeqFK915IQRnVthnZN1L/OgPbia3lYokovZsehp0q92zBIxib22n+hIOs45F9vSinHYUqceNyq2nEIyNzLLOEwIqAXd2lHjI70gIzCKrz6s8TCOcXSvdn4eV+O5mOYRpgchy//eADbMsqVN5SguUP/vmElcyuw9VN12+6ZDxxfGd7zUYJxHMoIh4ktgLu/AWJS5F+zSSfgroXi7w4tapSdVSeaSsWUBinhCIcltHBokuPQKIXHgFNridM8FCNFvfnqriP1SiAg7jMIiNvJANKtZOjrq9o5HS0O71kAvNEJ+HoKkLEFGP4UMGkeW0AHkLHf4EeB+38G4mqFcXqubSaVKtsY3PSB8ncNIOsbY183dk4W57GEQwsLCwuL8LF7ATB/EhsrGuTcTtJzj+cGk0MQDPQ4pBYdmB6HDRCVJ9fjEAA6jQImL5bPae99B3DHfKD4tPjxoOOwIlf7eVXor3o1BXpRvoyKtuk9CfjLUSKstujFDmizd6s7zsk1wMEfdJ/meeiFBF8NG+GiOapUhXBIx2SGipOao0olHIfthwFP7iTRJkltANiIyNmqHxnEP7aF9ExoKOi/fRUnqlSvS4hZQOC4JrT+nRWgHYeADR5QonIV5TiMSpDuDRVJwqGGqNKCCjdWHMzFj3vOYePxArh9JkYLm0F9Cod2B/91oxLqHMYRSnzA/CrlouQeWBHoL/m8mY5DgbmWGHd4Ouw2vDGhN6IcytPxNqmxeHSUOIbYFOGQFk0v5h6H9MKcKoTwVuA3JDqiSmnHYbcW4vuO6h6HgHR/74vIcXiqoBIzN5zCW8uPYNraE9iXxXFDNxSM45Ducai9COjLLWfgD6h3Gc3eeFrzMUxDUTjUPgY4eK4MX27JgJce62kgJUXFgnpDsHW6tu23fRae81CLmhYFobQZAPxxDdD3bjbC3hUHDH0CeGglK9YlthRv761i1yV45OyVf56OJfVUsiklegs9w1GodnwlRzgs1Za4FIqUc68hyT8kbo/jiAb63CneRq3jMErFnG7ft8AajnAW8JGY9c+vATa8A3S/kY00BYARzwBjXxMXmHW7Xvm4eqHX9aRo2pWImaGteGji0oH7l0mPIyw004jygCwsLCwsGhW5B4Efn4Bi1ISvhkRJPrW7rqJJifIc8SKP3cm6zaSgF/wiosehCpdZx5HAxNnAF9eyz7nigVun1cYzhgwubY66HgZ6em6FI25PC0piR/cbxZ8ZI5Vw2z8n/fmMQC8UeKtZl6fShIvu6yMoCCWCwOmvF3IeZjkOXbFkwjvmZfJfIEDEikgRLNRElepdcFQTWUS7Tgz2uMuvYMVJN1yIQcjiBeM4TJCJd4sg4VBFVOmx3HK8v+o4ftmfDa+/7h6SFh+FOwa1xdRRnZEYEwH9EKU+U+EQDgFy/6K/7xEeUwqAX81shGaX4ddL34P/N+nilrJqvT0OyxAICFh7LB/zNp3BxhOFmIFMDA+9NJtUcT+kUxo+v28gHvtyB8okhM7uLZPw2b39ERclHidkl1bD4wsgymmgDpjnOKTvuxeLcBidRBZwtSQz2ByRVZRhJnp6HFLfuW4tkrD5ZN1idW6pG4IgwKZm3CDlOLwIhMOjueX419KDWH+sgHmuT5tk/G1cdwzp1AC9pENRcmTpKMJculdFD/YQtp4uQl55DZolNsBcxeEi4xWp4j4dc8m5m4lLzG/A2xHfZYTufcNGIAAcWqptn2PLyTykodIUmHG/ipjlJh2BWz4Gik6KIylv/kh6fulwEfGw7GzdY6WZyushtOOwaXexy452HNJuw7g0/WPHcIxva0qJi8zmqJv3Cn5SILxJId6WR/5hc8/PKKVZwI5Z4sfaDCB9A0ORFA5px6HCffDkGmDxH5XXEFb8g4hsRRzRjjcW6nAF0LRbeN7fyjxSvEaPS3k07wE8vg34cgJwcjX7fEJTIFVnFK8FF8txaGFhYWERHrZ8os4tBZAB46656l+bjilN7aB+kkoveDDxOg0gHNLnLhWbyYseAUhD7ZIzQNEp8ePJbercPW0GaD+vNgO172MmSpOaltSAW63wzOP0hrr+fnrhOQ4N9zhU+A75vezg3qlFOKQdh9Xi/9fyxdZcvPzDfmw7XUT6ytjtkSMaAmTiE0plIflehKJ3sV+p8lgQOI5DYxNrOqoUANygrk28qNLoBNZFBETW4rbMNfZYoRu3f7oR1723Hkv2nBOJhgBQWOnBR6tPYOK0Tdz3qN6pzx6HACkSoann6L7MoiqsP5aP9cfycbZEZfRg6/5AtDbxcHegE8oE6nqZ2BIY/TfgweXIE8TOCroHoGrHIfV9EWrKcP+sbbj/i21YeTgP1V4/4mziz9rMrbnw+jVGf0sw4pJ0/OfWXqLHXHYbxnRvhplTBmDpkyPQJjUOqXEuJETX3R8CApBRZNDtRv9NasrYHq6NLT5YL64YoNNobft0vurC7QEp93eXcO+XUI7DLs0SRN9Ljz+Aokr5PojnuUijSndnlmD8xxu5oiEA7MkqxT0ztmDZPm0im+koiQc6rhu8ginFfZh0hnpEbkypo+Bi3VES1ecVHApb8hFsdqD/fbr2DSueCnaMrIQQYFM16hMtUaUM1NxIaS5LF3CWnuVvd/5cvKQ4O5TuN4h/DjoOA37g6HJgyVPi52OS9bfosNnY4ki5RCQ1xCSTeSVdBHrZzUCTzvx95MiLEOHw5Bpg7m3AOz1Y1218OtCsu/ixgqPsHNPvY78/cgU0ggAs/7uyaBhkxct8lyvvO2uzATe+ZzzCvvPVwN2L2M8NT8CUwuGUXlPJO6S+X6iFKizh0MLCwsLCfLw1JCJBC7vmKW9TWQhseBf4fqr48bh09Y3UlQbwDRJVqlIskhtQ5R4gVY6hNAnJzu90JRFY1RKTDPQw6MAzitzfKrYJG7NiKHtfYKNAtMJzHBrucagw8OcN7EPPIzqRdTGGkkRFW/o9CPi8OJ0rXrTaklWD2ZvOYOK0Tbj+/Q04cC6CIrMAiahSSgjWHVVKXRPohXXaAQYYdxxyFsOUo0prvy+8BddGIhyeLvZi66lixbiywznleGTuDgQ0xJqFBalFbIN/f0l4n+F6chyuOJiLSZ9uwhVvrMbkmVsxeeZWDH9tFSbP3IL1xxR6k0TFA5ffrfpYPsGOqZ5nMNj9ESa6X8J9nufwdMKbEJ7eC4x+HohOZHoYtkgSX3+lHHwMVK8Uf3UJ1h4VOxljIf4+LjtShr9/v1/lb6PM6QKxAHhj31aYMWUgru7e/LzwklFUxbgLb/xgA176YT9O5OuJ2QTfcXixRpUCwMCHtG0/6OHwnEckoMdxSPU4TIuPQvNE8ecnu1RlXGkiL2LMZn5/rQiirMaLh2ZvR7lb/trlCwh4euFunNT7vTcDJcFch3AYrcM9HePSJ7KZglwhoI7fP+iS91FjPT/d31oC28CH1Kfv1Cd6XYN6x+xmwAiHKhMMACBAbUu3oKCh57JKgkfBUfF9OiqRLXopyQAKjgOfDAfmT2T79xadBD4ZRrbRA/03veVjY+Jhl6vJ/+kiUL8buPd7IF2hFUa/KeKfy7KM9Ug0g9/fB+bcDJyQ6Nd58Adg8zSxCOj3sGs5TIy6TX7cf3ancpRtKHQRahCp/s3thtT26tRYIBmXBkz+AfjzEdJ+55IxQBolCquNKw0i1xexofukXmBYwqGFhYWFhfmUn2N7pClReJzEmUix5ytSsbXiZXZQnbmZxBVwehMxKApcE0jfAAAgAElEQVSHDRFVSve1k5igyA2ocg8AxZTjMLTptt0OXPmi+nO64i8NO2kD5CvqWvVlHW9Gm3YbFVe4PQ7pGFGTexzSIpYzRvy+2GzSrkNXHLfB+EvfbkN+kbj6sCbE7XYwuwy3T9uEvVkl9K4NBzeqlJps6Y04oxfO6cpjWhy22Q0XIPCEQ7dAvSY92QuKWJEuHMoIEV6oXwTccaYY64/zXRn1hmSPwzCJLbxF8zBH9wmCgNd/OYyH5mzHllOsA2D9sQJMnrkVH69RWIA63x9VmQ/9tyAHaahGDLYJ3bAmcDl+KGiF3efqBDbaUdg6RXxtLavRF1XqhB8xEH/H4yC+jlcjBl9ty8SOMyp6EangUI54gat7C/E5/bwvG394Zx3j1qr2BjBn0xlc9+46fLdLR3U17U52lwM+OnLwIhIOLx1H/lNDtxuAS64J7/k0JHLCkGSPQ/F3LjnOhebJ4sXFXLV9Dnn3sUbQz9UIi3ZkqXbSe3wBzGrIHn+KjkPtY6B+7RQSMiiaxEehXZMGnKdIjecdUbo+p0mx5D3zUeOgw0I7VAkK1+Ge44FrX9V8zHrB4dKeYNO0m3JiSjhR06JAClpktCt8F5Jpx2Emf7sg2ZQo1KInWxhcfAb4/DpxfClN/mHgi+vYtCI10J/9pFbAI2uBwY+CcVwqkd4V6DiK/Juey1UWEDH8kbXAgAepHW3kc3//L8BN77M93vOPaDsPM9m/CPjt78rbbf6I/ZznUW5Suqg5OlH++nJ6nbpzVELOJdz5SpK4oIWqQmDje+JelnSfQlo0VaJSZg54YDFx76o1FljIYgmHFhYWFhaRz56FwHePyA9ijq8A5k1gF/FpIlI4VOk4pCNaQ8ndzw7+6QFZ74nA1S8rn8/gqcCwJ5W3CzdyC+It+7CPGREO2w83LpTSCym+GrbPntnCIeNo5CwuSE2+Y1LI5INaBPx190nEUgvn1dSiRaXHj0fn7TQtrs8wsakQTVYDPqCcivLSHVWqEFnEiMNxhhc3CyrYRQoPFITDqAQyQeItUlTkRc7kSWZBkV4wU+LLzRLxzfWFZFRpuByHnPtXmB2HczefwSdrlKuA3/jliLx4ldAURRO+wZlAM9nXmea7Ae/6xnOfO5xTt4BS7hYvzrVOFb/nqqNKHS7GIZoIceFTLBVVWgVyPZy76bS6YyhwOFu8MNStZZ3Q//vxAjy5YBc8Pulrrdcv4Nmv92DV4VxtB+b0d2QdhxdoFCcPmw2Y8DkRBeXofhMwfsYFLWLpiSotpaJKU+Oi0JISDtU7Dluyj7kubBF74TYFwYBi8c6zcPt0xg0aRWmupGMudfdgbW65SQPbwuVowOVMqTGlzmKLkV2JaOKjlmgrEIsbPP/Bt74rmH12BTrjH86ngdtmNExijloY0cfk7c1GqWBQDjopRunvktxW/HOZRFRpRT5JXVr7uvjxFr3I9TJ0LcHvBqoUkiAA4tj66c/K29HQY1xvFSn2uO6/pHhSLTYHMPb1untpqKgUPL/g8ehYz8tuIffr9kPJz027iZ+XE03DRVURcRr+8Lj6fSqocRvd51BrESzdD1EvUo5DgMwnM7dqf80Tq4BDS+p+Tusifl6z41BGODy5BnjnMuCjwcCW6crrgxayWMKhhYWFhYX5JLbSHtXWpBNxxdFUFwNLn1H3GllbgS3T5LeJyKhSFT0OBUG+EovnOAyNKg1yxbPAPYv5vXzaDAImzgKuey0yFsTketnQ/Q0BY8Kh1ogyHjyxgO4xoLnHoVJUKTWw533vpITD2BTuOcXaPEw0XzXdXw/A2ZJq/HogR/786gu7g+1xGezxEUR3VKmCcMiIt8b621V5fKigosriohxwM8Ih7f6yAbOu58fibP4I+OxKoPi0oXMzBZlFNS2OQwDY09CuV6kJfL06DsMnHLp9fry74pjq7d9aflQ2ZnZNQRLGel7D37334Uigzn1YI7iw2D8Ct7r/idd8d0GqYt0X8tq0MNgqRfy9o6NMZYkR9/pLsomFwzjqehh0f6w8LI401UO1x49TheICk261jkNBEPCvpQcVo3vJtsArSw5qi++lHYfeSvZ6djE5DgFyP5w0D5j8PREQg/dUZyz5efL3wO1zwlccECnIjYVVOg5T4lxonqTDcZh7EPj5OfbxygLiosncpvwajQxBEHAsT9uCb4Xbhxy1QqzZhKHH4dXdm6NPWzYFg0eT+CjcP6yD5mOYitR7oPP+f8+Q9gDYqFIn/DgptMLrvjtEj1cLUbjV8y/MqhiMPLW9QxuKnrcBzXspbweQnnZ97wrv+SjBtCjQIhzSjkMnf7sgSlGlfh/pWfd2d5K6RM/19y8Gsrazr6OWEyu1R5YywmHtdchbpb63niMamDBT7FxjhMMQYaicmm/SrTZoYbE++xwKArDxA+Dty4jTUItIRc8pGcchdV9Q6vNrNH0pCK8NR5D8I6QliB62zaj7NxNVquFz6K0BPCpazBQcAZY9B8z8A1CusbjO4jwKVzELCwsLCwsduGKAXhOAXXPV73P5ZP7juxeQxSy1bPscGPaUdE8BVyN1HFbmk/5DUhSeYLPeUznCIUB6CXS5mogIBcdJE/omHYH0SzSddtiRWxBX4zh0uNT1pehwBWnAbhSHi1RPyk2alBZbjAqHLs7rSwqHtY+74gHUudfi4GYcNtXgL4Qs2pGFG3rzehE1AHHpYhceIxzqjHSkrwlKPQ4NLigXlIsnkYkxTqQnRMNdpuA4PLxEPq753C5g5rXAQ781bB8cmWusV9A2NZFzYdULklGl9ek4DF9U6S/7c5h4TDmyiqux7mg+ruxW5yqscPvw/a6zWLY/G3uzSlGFGMz1X4O5/msQhxpEw4MyxMOvQjRuExJHSvcwbJWi03EIEOddRd2iVJLIcSiwDuza62F5jQ/+gHC+D6EejuSWi8zA6QnRaFrbF277mWKRy1KJ04VV2HC8ACO7NlXeGCCfJ5udjAGC0BXcF5PjMIjNVhvFdSVZEPR7a+/vEVBQVV/ICcYc4bDG60e1Vzxe0eU4zNgCzBsvvSCYsYkUyEyaB3S9cKJiBQEI6EgFaLA2v0rimI4iTIfdhhn3DsA9M7bgSK70dS81zoXP7xuIZknGirQMI+U41Ckc9miVjDsHtcOZ7eL+uQ6Q71UcNS6vRN3vvzezFGMuM/f9qPL4sOlEIQorPIiNcqB/+1TmPqsaZzRw99fA3FtJRKYUqR2BexYpiyPhRqlgUA4mqlRhXJtER5WGCIeBAPD9VGDfN9L7VxUAs28EmnWT3kaJA98BozjFGlLQY9ygUEb3FXTGAkMeJetBwTWKuDSg792kYDe1vXh7Jqo0ZF2jghIO6ThrWjisT8fhmteAta+Z81q5lHBI3wuVWk90vRb49W/Gz0NOODy9Xv/rnt5APi+uWFIkEEqRBsehVuEyZx/p9/ngbxdX726TsIRDCwsLC4vwMORRYPd8dZVn0cnSwuHB77UdtzSDLJC3GcB/PiKjSlXEU9LxDakdSXzF+UG1wIoGdM8DmtQOyts0JFESg+OYFP55x1KOs0AA6HQlcHK19DE6jiQLUErN69XiiuU0Mq/FGau88Kg2tjYIHSXCEyZjJSq4YyQch3BzFsr534vM4giK/qCFY1o4NC2qlFoUUPM30EA+1eOoaWI0kmNdcJcqCIdqerxW5ABLngYmf2foHA0hI0RojSql3Sz1jtTiFk/ANwOeazZMwqEgCPh5X7byhhQ7zhSfFw5/2puN5xfvlRTxqhCDKqh7r5omRmPEJXWLSuXVVFQpIxx6IQgCbGrEHp7jsHZBPgYe2G3i1flgVGmsy2FINASAw9lUf8OQmNL1x7RXdGsSDm02sggVeu2gC5AuNschjc12cYqnGqNKS6nvY7TTjhiXQ5vjsKoI+OpOZReB3w18MwV4fAtTBFNe48UPu89hd2YJ3L4AmiVG44beLdG3bYq6a0EDYbfb0DY1DhlF6vvDRznsaJ7UQN9PReFQ33emaWI0Fj02DNPXncT0dSdQ4xUXByXHuvDjEyPQ1uTehlUeH37Zn4NjeRUICAI6pMVjXK+WSI6Vc97K9DjUySs398D00p1ASAq7KygcUs730N7je7NKMOay5rqPG0pplRfvrzqGr7dniu7ddhtwVbfm+NOYS9CzdbLMK0iQ1Ap4aAWweRqw4wtxJGdCc6DfFGDoYw3b2zCI0rhfDtpxqDWqtDybuAwdTmDPAnnR8Pz5uY319KNFOSV4UaUAW+AckwyMeRm4+qXacYZA1nx4CVOAdFQpwLrFEijhsCntOKwn4TBrh3miIUDSpYLCGsD2OFQa86d1BrqMIS181EAXjwWRiyo987u61+YiEIHZFVubjGXD+QF3dTEZB9AJQjzosaoasvcAe74C+k/Rvu9FjiUcWlhYWFiEh+Y9gBvfA358Qn47RzRw+2wgXiJaoUJHFJjcPkpxhQ0SVUrdjnkTFLoKK60zEZVOruG/ZkLzhq/YNIqUyNuyD1+Ai02BaAAq+IHxM4HlLwJ75ou3bT8CGPggcRqaJRoCRDSSEg7VONHo3hBKwiHd95MrHCo4DqnvRKzNzUSV1gj8RSJHJC3E0deQEqpfkN6oUnrRmIkqpRb6DIpG+eXi9z49IRrxvKjSajqqVCUnVgH5R4GmXXWeoUFko0q1TU1u7NPAbldJx6H4M+D1B7A7swSFFW7ERjnRp00yUuJ0LC7yHPNhiCpdfTgPr/58SHN0HkCcRwCwZM85PPXVLtNaa04e0l7Uz0rJcRgQSC/WhGgVnykqsjO0x2E8xIsnbsF5PkpueBfjkVC0o7BbizrhUFPc6vl9NDgtAbKIFyoc1lDxvwYLISwaJ0VuAZJLd5winBIqpjS19vrWIkmD43DXPLYgRgpvFbD1M+CafwEAAgEBH60+jmlrT6DSIy5YnLnhFHq3ScYbE3qfjwGORCb0b4O3fzuqevvre7dEXFQDLecpFRQYEM8Sop149g9dkVtag4XbxeO48hov0hPME0t9/gDeXXEMszedZq6dryw5iNsHtMHzY7sjNoozT5Aa0xtws7gcdjx29aXA5yEvVysc9mjqBEJ0maqQcfnuLBWFYyrIK6vBnZ9txol8NuknIAArDuVi/bF8fHJPP1zVTYdQGZ1InG0jniGRjDWlxPHf7LLI6tFIn4uRHodKjsO4JqSwNDifEwJEPExuA2z5RP1x5RxiSmi9z9P3gOCxacdhsI+yzSZdxBqKlqjSROrz1/RS8c/l2UB1ibrjGmHrp8ZfwxEV8hkTgI+HAf0mA/3u5USVKjgOAeDa/wJZ25QLSm1OQJAYM9LrC0EEgbgGjRD8HVyx5HNeGnKdLzyhUjhUOVag2T7TEg51YPU4tLCwsLAIH/0mA3fMl3aONe8J3LeUxEFJocclJCfQKFVqNUR8gZp4Sjr3vUln8v5JIRVT2piQmgTxYkoBIgDSIllNCft5GPEMcP9PpOeGmaIhIP/ZUyMc0p8FJccuXRHIO4Zij0PxdyweNYixiRcBpRyHlzSPIHE6joq48VORomZFldILCGr6TGqA5zhMiYuChxbVlERlOfZ/q39fo8gsDmkRDqOddtw+oK3yhuFE6t5WuwhT5fHhvRXHMPy1VZg4bROmztuJKZ9vxaBXV+LZr3fjZL5GYY7rODRXOPxmeyYemL1Nl2gIAOmJ0Sit8uL5RXtNEw1HdEnH1FHiSCNaVEuJdSGeWtxVLbzFUMJhSI9Dudjmu4dQMVs6OMg4DuvORdbtIoHmfWIUhJSL0W13EeMPCPjnkgOYt13agTJ9Uw68frFDoaRKfF9MiSOfw5bJ4vthrpxwuHO2tpPdNRfw+yAIAv7f9/vw1m9HGdEwyN6sUkz8ZBP2nzVHYAkHdwxqizieQCXB/cM7hO9klAhDVCmNN8C6YAICe83Ui88fwNR5O/Hh6uPcgotqrx+zN53BPTO3oMrDGW9JzU8NJtfYqPfOCT/emNALb94sbidRFXIv2ptVAsHgDdcfEPDwnO1c0TAUty+Ax77cieM6xwgAiJuuZW+g4xVkThdJoiHACuOGokoVfjebDUjmxJXmHSLxivWBVEqTFHSB5HnHIXV9pfsoKyHnOGSiSqkehzFJQBLV51EuFtcMfB7ggMZkLB7056v4JLDyn8C7vYAzlEinZi7btCtw7w/sexSKM/Z84Q0Xen2hIg9Y/xbwxVjK7aexgLjdMPFcpkkn8fNq40r1OA4B4jpUk9BjIcISDi0sLCwswku366Vz9++YD7QdJL9/u8HajueIlhaWAGUhsiGiSukJk5qo0rQu8sJhk0YsHPq9wM//B8wYw3/+wHdAzn7+c3RcZVURUHhM/BgdZ2ImclWbeoRDRcchLVpxFnM0CocpNnYxoEZCOLxrUAP2yqOhe2PQmBZVSjsOqapMwz0OKeEwIRopcS64Jf4GugiNiKpvZBYctUSV/ufWXud7wTUYMo7D4koPbv90E95ZcRR51N/U4wtg8c6zuOnD37HphIaqWa7j0Dzx/uC5Mjy/eJ9uwc9mA8b2bIFvdmRKLuDziHFKT0mbxLkwY8oARIVs4/EF4Kb6WybGuJAYI76Xqnbf0VGlIY5DOh4uuFg7qmtTjLpEZSSoBIIgMFGloY6oKy9tRu+iyOhLNZ6T0sLexR5VepHx8o/78cXvp2X7zS49XIrnvtkjEiqKKcdhUDhsRkVplrt9qHBzvpd+L1sgp0R1MVCZhx92n8OCrZmKm5e7fZg6bwcjekYKzRJj8O6kvnCqiD9+8fru6N0mzE4aOepBOJTqYXzgnDmLvu+vPIYVh3IVt9txphj//PEg+0QYHIcA4LeJv3tO+NGvXRMm3cIdIhyWVHmRWWSsdcDao3nYo9K5WOMNYMb6k4aOF9EY6XHIRJWqKIhLpgSvsrNiF1Y4iW8GXHq9tn3o+ZRUj0OlwiTmXCR6HPq9rFCUwHG80utNO+fqS65SS1UhW6RqJt4q0vYnFDWOQwBodTnwxHbghneAln0BGzW/GviQ/Lw56DgMBICVrwBvX0b+n7FJvJ3W5KGBD4p/TqP6HNLrXVLoFQ4B1sVpoYglHFpYWFhYhBdBAPIkKr4qlCdsGPCAtuP1HC8fcaDY47Ahokp19DhM60TiYKVorI7DgB/4egqJ/pBy25Vmkoq37D3sc4xwWMi+d+ldzDlXHnIxlbqEQ4XFdzVuNynhUKLHYRrEEz+34ISfI+j0aZOMoZ2NR/WZBv23p9EbVUovIPioSSL9NzAoHHIdh7FR8Mgs5GqmIQokVBzbq0I4jHba8d4dfTGhfxvFbcOOxP0k4IjG1Hk7sP+svDOiwu3DH+dsR0ahyr5WvOOZ6Dj8/PdT8Af0uxZGd22K9mnxWLJXW2/EGl8A707qi8lD2mNoJ/H9u6jKi7wy8XeCdhI67TbEuOxIihV/R8qqVToOKfGsQ0LdPZgWDquFaAzrnIaP7u4Hu8H+htmlNaLIVafdhs7N6v6efdqmoHcb9b2kujZPwOCOKiKeQrEchxa1bDtdhHmbSW9gOfd3NaLx/e5zWHOkbuGutJpyHMaSz02My3FeRAyyaEcWK97xeiypQAj4MGODegEjq7gavx1UMfdoIK7p0QKz7h+E9mnS45XnrrkUD13RSfL5eiFMPQ5DkRIO95kQy1ntIW5CtSzelYW8cpVjPYPxzlkl4u+Sy+ZHx/R4pkjNHi2+9+/OomKmNTJ/S4byRiF8v/ssvwjgQsDUqFKFdQVvNTuv+Pk5YP9i9cc0wqj/036fZ3oc1n426R6Hmh2HlJBVU0JcfbT454xhCr6Qd5id7++eRwSvbx8Aik5pOxc1NMRcSksbmugEso72yFrgOqoPY+4+eZHOW0PW8Jb+iTgNaUE8iJZ7d/sRwGW3iB9Lo9Zk1DoOq7T3AD9PuONrL0As4dDCwsLCIryUZACecv5zdF49jxa9gB63qTtWVAKJoVTaRo6GGAQyYhE1OAsESLPsUNK6kDx/uoIsCB390FjYOh048pPydu4y4Jv72AkaLR6VZrLuKnqQaiZyMZVqIizViMihMG43PT0OxYsP4zqLvwOh0XxB2jaJxbTJ/WGLpB6HdFQpjWlRpSHfT08VcHK1+PmqQn6fUpXQPQ7rHIcmFjW07Gvea2lF5hrrE5SFw1sub42b+7ZW3K5ekKj83ZhRgS2n1PWgLHf78BlVuS8IAnZmFOPPX+/B8NdW4fJXluOqt9Zg2VGOEGlSL9tKtw9L9pzTvX9afBReuZm44PPKtPfaSU+Ixr9u6YkFfxyKy1qKF5uufXctrnpzDV79+RDOFFYyTsLEGCdsNpsBx6H4eBN7JuOlG4gznY4qtUfHY84Dg9T1TlTgEOU27Nw0AdFO8Xfg5Rt7iNyWUjjtNvzzpp7ar8mW49CiljkhQopH5n4THBPM2XT6/GO04zA13oXiSg+e/Xo30//w5R8PYPhrqzDr91N1rkVntHysGg9nLI5VxikWaNAs3JaJr7Zm4KkFu/DgrG3489d78Mv+bPgixIk44pJ0rP7zaFG/01CiXRGwhKfY49AEx6HE32OfCXGzvx7IQanawhIAXr+A73ZScwkp4dDgPPJYgfieE+sIwGG3AR5xhGh0nPjz8a+lB/HSD/txOEdflKvW97XGGzAWVxrJGHEcMlGlMmOF/CPAx0NYF1d1EbD3K/XHDKL1/j/sKeI80wotjpvlOIxKYF+7qpCNKU1oLv5dz2wkKUXFHHEw4AX2LwJmXA1k79V2PkrENQGS9Sbv6Jw/653L0glfWTvYRKZQfNXA4Z/UR4jbFO5L7UcAd3zJOnCb0I5DlckDlTqFw46jwtIb/kInAkYdFhYWFhYXNHmceJcgaoRDALj5I6DzVfLbRCWQAUnTrgrbRWBUqZLLrDxb3KTaEQUktyVVjEmt+K8pJShGMoEAsGWa+u2LTgLHlosfo92mmVvFP8c3Y6sUzcSw45AWDpUch1SVqhbHYSzfcdg7VbzYHioc2m3A+H5t8N1jw5neRQ1OvILjUG9UKV2JG4yl2TELeLs7GyOTtQ14pydwaImuwxVwexyaGFUalUic2Q2FrONQfC3s1DQe9w4V95E7litRiNIQ8CafNgfmbdXmuFu8M+t8D6Vqjx+Pz9+J2z7eiEU7s3C2pBrFVV6cyi/H6WOciObiMzCjmeDZkmom/lMtndLjsfCRoWjbhHzHolUIXTRBcazG6wcg/n2qvQGcLKjE9HUnMfrNNZi2RrywEBQME2Mox6HqHofi6mOnpwx3DiKfuziIRVC3LQZOhzlT6MM54s9y95asUNC/fSo+u3eArFAZ63Lgk3v663OAKzoOLeHwYiAQELD8QN2YnOmpG0K1QK7ha4/mo7o2kpgWB6OcdoyfthGLabGllrxyN/6x5CD+ueRgnXjY505tJ91rAs6Uqo9EDrL+WD6eX7wPP+45h5WH87BoZxamztuJEa+vxqrDkeFGtNttktfR9ccMOC3MQslVF0bH4bG8itr7hH5OaO0vDLAiWZiiSg/niwsCo+y13w8qqvRUqfj9yS93Y86mM7ju3fV4ZO52zW5AqfdbjkiN/TWMXMGgEkxUqYSIXpIJzL4RKD6t6dRkSWhBHVvie9hmEHD7HNLjTk8BKBNVGuxxaNBxaLOxfQ6rCtj1otAik/JcYMGd0kXq51+nEJg/yVh/O0Eg51J4gryOzQb0n6LtNdIuIYItdI7b1UaV0jTvKf67ecqB4yukt/fWaFuTEQJkbtlumPjxtkOA8TNJz0We04+JKj2pbk6jN6pUj1BuYQmHFhYWFhZhJveA9HPlKhdXo+KAu75mByMAEUr63Qv8cS3QabSK14rEqFKFvnZ09VVqBzJgnX2jdA+ERfcDa143ZUG53sjcon0CtWeB+GfacZi5RfxzON2GgLyrMCw9DinHoZYehzG1j9MTwCpxz7XgIiEA3D6gLd66vQ/SEyJwMVnRcWhij8MN7wJLniYxOjwqcoCFk4E9CzUfjnYcpidEIyUuSnYhVxPDnjDNpaYLmUW1YFTp7QPaYMHDQ7Dy2VGMcHg4p9xQnKap8Cp/XbHYnaktMqzS48ex3Ir/z951x0dR7d8z29J7SCAkhN57FxQUG4qKKEpTn2LD7rP71Od77/eevYuCDTtVFEGlN6mhBwKEkhBCEtJ7Ntvn98dkk507c6ftbijO+YcPuzM7k92ZO/d+z/ecA7eHxawf9uKPQ/wiSWemCKssL+AhkwgZvfYV4KurgRr/ciu1PioSIy1Y8/cx6JrU8l0MSFNnA2QxGdCjbRQ8HhaPLdiPI2fpBSCWBRbuKeC95iUMNSsOyeKWvbaZdCStSiscJl62m1q4PSzWHSnBPV/vwvtrj/PeS44WL8aP7d4GG54Zi6eu7o6YMP7f2CM5EhufuRxX9xbJ+1ECWcWhblX6V0CDw8VrHJCyKvXmfHpYoLrJorTaylfkbD5WhtyyBsG+JL7Znoef9jbdz0NnqlC4MsCIB6HFLZj2+CiuteG+b/fgd5VWy8ECLSc241SF38SZ35CzNgwicej2sAK1tlpoGcIFu9Ca0fz827NL+PN6M5p+a4I4rHHRj7P6cAnunrdL1XXSVkMzYFvKM+uCh6BhUKHikGWF6zaa4nDdv5RFtihF6jCgDZHxR573DR8Aj+wC7lsL9J6o/VjketYb2SBQHGpo1BXLORQQhz7znd1f0tdiJOqKgAML5LcjYasFtn0EfDQQeLcH8PFg4I0OwHcTuXxKkuykIbo9cP8GIFGmyV0KWolDowlIGcx/TYpEdTUCeVvUHaPkCDBzJfCPIuCpbO7fe1cD/SbTsz5j0/nN7o46ZaSgFsVhj+uBnjeo30+HThzq0KFDR6vAWglsnw3Mnwp8cwOw+C6uoOxUb+d1wUGSOFSoOAQ4Qo8kScY+DzxzHLjpY+W5dWY54vB8UBwSiw7S7z2uE/DjZOD0VunP3fQasOUd/8+vtaAlCL6a2Ci1nLwAACAASURBVIckDquJDBOysy3QaO2MQ3IMETuGrOKQJA75k3Gbj+LwvOahpULegcBZldYVA+teVbAjCyx/lLNrVgiWZcUVh2Fm2FmZpoZBd8kfoP9UYMxzis8nKJBoznDBBIYBXr6hNy7pkgCGYdApMRKhPtZsVocbpyvkC9KtArFGFFMI7C71RV27y4Of9xVg83H+gjmdKcZiy3/Qw1BA2ROcyvXr8VzntUakxIbCbFRfha+yOgUF1enD1Vk33dg/BTFhZvx26Kym/DEvcRitWXFIFLdstc02dqRVaY3bIsghVYqKejtu/2wH7vtuDzYeK4OLYDA+/zMXn23OESUmk6JC8fiV3fC/SX15rydEhqBtjB/FW11xqANcFqEvpDJ1bT7q93Aztx2pOMxTmtsK7rpnWRaITQNu/hSKLNyuewto2w/dkjQWUSnwsMDTSw5oslsONKwUxZjN6cGevKpWPhsCsorD4FmVAkCWn3alUhmSNHQk9wmC4pBlWRwu5d87JjRdBw7+61aRGAFf7Dldhc82K8//nDiQ4mBDweAOsc0uAxcdBNnmColDsTWbGHFYXwoc+VX9edGQ0BWY8gMQKzH3SuwBDL2HiznxF8HKOASEJFxDuZBg9SorPR5g33fqPn/vN+q2r8gB5l7KNemRzc25m4BfHuRidWhrbS8i2gAzlnBzLq2NrID2tSwApA3Tvq8SeKNhLBFAdDtllqAmi/C6lcpe9IIkDrtdK719r5uAyfMAg06BaYH+renQoUNHMMGywJ9vc3Z2a14Cjq/kuneO/Ar88gDwfu/AThzPR0halaro6nXagGLCpm3AVPX++SaLdFD5+UIc+hYOyQmUox4o3Kvssze+xlnZXQiQ88cXA/ndkValJBK7qT+GGvibcUhazMoqDonillgxh9bx6V3kkAtAUnHoUyS0nusudymQpDEJrVal5JhQdkz5vm4HsGee4s3r7S7YnPxiWUKkBXHhFsnMKQDA+NeAm+cCSb2F78V3ASa8B0yae+4XTRKKEheM6NU2GtE+yjGjgUHPtvxx/oifaoOAQWwBbwpDUpR6IicpKgTf7xSO1W+YvkQio+Dvrc4HVr+o+rheRIWaMb6vyowxcOqPwip+U8/wTvEY3VWZbWao2YBZY7lM3u935Kk+PuBrVRqYjEPYalDbKK44bEQIjkooImmwOly4a94u7D1NL/izAF5fmY2vtork9DSBvLZK67SRmM2Q617XFYd/CZiNBgxJbyl80hSHjawFbFMJqXtyJGLCuXuuyqoiA4zAidJ67MtvUoz0mwxMW8jZ8YshIgmY9Dkw4gEAQIeEcIzSYtErAZvTgwW7NDSyBRhS861H5u/DHV9mYOnegnOjPpQbF4KoOAT8zzm8rl87RFiURzoYGOCWwan8F4OgODxT2YhqG79xhPGuAwjFoU2Bff2PGacV24nePjQN4Sq+k5TYMOSraBC4oEAS30oVh6RNqdhnAZxFpNi2amGOAIbeC9y7FohqK00cdr/G/+M1H5ckDpuuA38zDgER4rBMWC+KatvyHpl/KIeyo8qJ4IYK4LubhU3IJHI2cNl5/W4Xvme0AAOmA/dvBJL7cK+ljdBW8wD8c4xJG0F/LzpV+zl5oaVhhGWFpOvP9wHbPuS+fxqIJmfc+AEwc7W4kvauXzlrXiUN3DpEoROHOnTo0BFMrH4J2PBfYXHfC2sFsPhvwMHFrXterQWXHSiXCF5WozgsPsSfZIfFc8o7LZDqgDofrEoBftciSRyWZSv/bNajvrvuXCG5r/w2gn368P8vRx4F26o00BmHrFzGoQLi0GWnHLupq5+8HxroVqWNFOus8wKmEC6/jwatYehk97haS8jMhYo3JW1K48LNMBsNiAk3wy5HHJojgIHTgIe2A/etB26eA0z8FLhnFfDoHmDYvdqyTAINiTHWAROGdxKS/71T+MWHw0XnCXFosoAlioQuowU39FdHwPVrHwOTkcHBAn4xtAeTj0uMEs03JI78CtRqt9mbObqjpv3yCAUowzD4ZPpg9E+VtqkKNRsw544h6JYchfJ6O3ZrVNFEUzIO65QqDlVYlVrZEGRrIK6/3pan+Lp9c1U2VfGUFMUfj/xWRoVI/EbGkPNjzNDRKpgxoqXoTCMOfVVOd4xssZH2KnS1Isc3P67HeODxA8DU+cCQu4HeNwOD7uTUAn8/DAyYwtt31tjAO0n8vF9C4d1KsNrp862aRie2nizH00sycdlbG7EzV6LAGgycw4xDADhU6N8cIDLEhGkqlPHX92uHlFhiHk37DuS+GwkcLqqBi7j3molDB/85a2XllY2ldXZk5FYqOnZ8hAVvTe6veMj/7eBZjH1nI+79ZjeKqhvld7iQIBZRoARiWYhia3xrAO5XowV4JAO44T2uadZaCRTuo2/f6XL/j+mFIOOwaR4SEMWhmFUpoTj0EodayVe5plwvdn4C1Ch0jTmyjMsuJJvTH9oOTJrDKeq9iEkFuo9X9rkkpNa5ckiVUBwmdBY2OCtpePZFuwHqtm8oB76+HigirtuaAmDtP4EP+gKHfhLu52gQNFIgPAHoMBKY/I2QAG03QJ/L+gmdONShQ4eOYOHkem7CIQsWWP6YX8W+8xblx6WJDzWKQ1Jh136I9kmAJHF4HigOAf6ktoIgX9UuOLJ/V39O5wJJPbkQbTUYcjf//7LE4TlUHAYj49BJLNZJ4jJzIad4JrcDuAn5zrnCIgcRMN/oUyhsdCpcbJ0rREj8/lqJQwHRpax7uxl1Z8WLCSIor+cXJ9o0kQRRISZpxaElskVJyDBA6lBg4HRg0Awg/ZJzrzL0hYSNl4s1ihOH7QjF4XlAHOZXWPHEwv2oJnKGTlS4kFlQrcr2865L0lHZICxM3Wjcoe6kPC6/XAwGdYjDKzeIKFYJkI/e/Eqh6iA23IKFD4zEHSOFxVmTgcGE/u2w7JHRuKJHEgCgol67YolmVapccUhaldagtpHbl7QqtSIE2cXqFIcutwc/iKhJaXC6WariKSmaf//U2lz+KY6kFAG6TelfCjf0T0Hf9tz1YKcpDpvmA13aRGDykBYFlj+KQwDwkPa8RhPQcwJw44fA7d8CE2cDfW8VzdYb070NXriup+B1f1BQ1ehXlqm/cLo9kladviirs+OuebuwJ08ZQRQQyCoO/W/CtEsQh0fP1mL65zuxeM8ZzePfM9f2wAiR+QaJnm2j8L+b+wnfoCkO/Rg3s4pq4BKUaFmumZSYx1uhjKAsUdFcckP/FMyZMRhx4cp+P5YF1meXYtKn23BGZB5wwUJAHCokqMg1G2MUr1X4YzfZfE6OFuvM8pPAZ2OBYxLr/fX/1pYLJwZy3disOCSUwFry+MQUh6SqMDK5ZVvFubhNCItXth53OdTboO76TEhmxqaLb3v5C9qaDLRmHAIcKUtruo9OFdYQel6v7vOH3KN8W3sdlxGZv52+jdMKLL0XyPqZ/zqZgRgS0zLuGgxAKJGzbm3FZ+NFivOoiqBDhw4dFxky5irf1mUD9n0bvHNprAYyPgMWzgC+vQlYcjencnT5aXElhxJCKUF2Itmqlec8Fu7h/7/9EO3nJUUgSNmYBgu0bsTts4GPBgMVJ/37/MYLaMJ02VPKt+0yDkgZyH9NijhkDEBcR02npRitnXFI3sO+xOXur7jsBVpovKMeWPU8Z7EiAV87JOv5rDgEgHBKziFj1N4UEIhmAoX2L6Ti0EscGgwMTBaJ60cBKepye1BjdWrK3wsoZKxKh3WUVxyea6vSrMIaTPxkK349UIQGonhngwXrjpbCpJCsvbp3Mm4ZnCpqEdaW0aDAU9OQ0wSX24NVWcV46Ie9+PVAIYwGOunZs20UJg7gZyGdptiVhVtMuLQrvwjUpU0Edrx4JT6ZPphnQavGIo2ElzCMDuM/v2uVqqBI8sxehxordy+KW5Wqu/4OF9XibI06ZeCaI+KODOEWEyJD+M8JctxQBSlFgG5T+peCxWTAvL8NQ8+2URJWpSHonBiBb2cOR7ilZRsy41AtOmjInPPFrLFd8PG0QYLmAa0wGhgw51ChoHau5XB58NTiTLg9rUR2GgzS40MgFIcyxOn23Ao899NBjH5jA7adVE+IhJqN+HbmcFzZK0n0fQMD3DQgBYsevKTZkpcH2pxew9/u9rDYcqIMq7NKBIpDbgOnJqtSgLuv1WB833bY8eKV6NVOOUFRUmvHrB/2nlOyPaDQqjgkiUMagd7xUvXnJAZnI1fj+WGSvDKu+CCwYBrgDkADqEBxSMk41GJVSq7jGsqFDlVRTa4ephCgz83qPn/AVGWN56VHhASVHHI38f9vDhdtdgHA1cSm/CAfo0HWBfyxKj2+hr5GOLhIeJ33u1256jC5L9DjOuXnsvV9oCRLfjsAWPEkYPdxJSAtTEmVKml92kipg+hQDJ041KFDh45gwFoJnFirbp+DiwJ/HiwLbPuIUxytfA7I/g04tRk4/Avw8/3Ae0HOWCw9zP9/6jBhkUqpN72Y4lAraJM0g+ncKHMMBiGx8MUVXC5mpYKAaDloVVqdC3S/Frjq3/LbJfUBbv1K+LpUxmFsOn0CHyj4rThUm3FIKAm9HXcVOcAfz8ofD+DsVSTQ6GOHdF5blQJ04tgSoV2hTBJdYkS/FNr0Ev6uFJTV8cmFxMiWY5ssEqQ05R5nWRbbTpbjwe/3oNc/V2HAf9agx8urMHnOdizbX6g4+yagkFAixEdHNJOlvujZNor385XV2VFa56dFowIUVFnx64FCzM/Ix6qsYtTZnKixOjHzm92osjoRCjtM4N8TMahHGGxodLoRYZF+nkwekorZ0wfBaGCQnhDB+70BwMFqKIKrVDvsz6/C5e9swqwf9mJlVjEOFtQIis/X9U3GA2M6Y8msS7DyicswvBP/PqMRh9x7fHu1Aamxor9x+9gwpMRos3iLolqVKiyQWaLQbN0MAGBhq+c658PBv84a2FDklNVL2uiRqNSgxpIiYgR2pf4Qh7riUIcPkqJD8fPDozB5WGfR96OjY7Ds0dFIjWuZRzc63JLqMDmkxYdhRCf/cwpvHJCCfjL2yErRs60fqo4AwOpQX9zPr7Ri8/HSIJwNBVJqmSBblfqiosGBu7/ehe052sjDAamxou+9P2UgPpo2CDFhlDlLABSHLMvi+x15GPv2Rtz51S6cLKsXURyCUzFpsCoFIGsZLoZQs1GQGSyHw0W12J7Typa5wUKgrEppzciJ3bhMPH8RkQjs/ZrLuFaCgl3A8ZX+H5dcz3rXomTGoSarUkJxWFcsJPC8VqUAMOJB5Z/NGLlMSCUgSVBF+xBuFKSbBYluVwMPbuHck8TqB+PfFDYQa1WrHl0BLJhCj09i3cLzj0zisgHllJFxHYFpC5QrzV12YK8KwYS9Bji0pOX/5PVAEodkLahRWwyCjhboxKEOHTp0BAO1RQBUdt3VBCFPY/2/gbWvCH3AvbCWA4vvAjKDQFoCQsVhUm/+ZA9QlnNorQQqc/mv+aU4pEy6zmV3PUlG1JeIb6cFgepsbC1c+iQ3UU3qI3zPEgkMfxCYuVKcJAyJ4RYGYkgMsk0pIK04VNK1p1ZxSCp2vYu53V/J5yMqRKNPV3OjP5Z4rQFy8eCFP+Q5uRCSs8MlQdrpSkBgVepDJJlDpYhD4ZjmdHvw9OJMzPgyA6sPl8Dpbnkm7TldhScXHcDkuTtQXh9k5bkPWJbFqmz6As7BGlEtQrKEW0zonMj/DY+eVWcXqQZZhTW495vduOytjXhi4QH845dDmPXDXox8bT3u+WYXSuvsuM24CRkhjwhUgZ0NxcgIeQRTjRvQ4KAXPlc8Ohrv3DYAISZuvDIbDZg2PI23TSarIbsrZbDiTQ+cqcb0LzJQUCWdT1Rca8ffr+qOYR3jwTAM0gl1UH5lA2VPYf5heoL4vWgwMJg+QnnmlC+8hCFZ6FRMHBoMggKXo4FT6oczQsWh080ip6weShFhUU8ASykwSeKVbDhQBV1xqINAuMWE8QPE78WkhNjmTFEvqhv5Y3a4xYgBaeJkjBhmju4kqXJWg7zywNglqsm/CwYaJPINpfBbZivGXkgqDv13b1HTnOF0s3h6caamZqi9p8XnJLLjtp+KQ5Zl8Y9fDuGVXw/znsEsDHCz/PvB7nCIWJXKE4eXdUukPnPlUKFhbrhot7jF9gWHgCkOJa6hK19Vb7Ppi9gOQNv+wJ556vbb/aX2Y3pBrnWdjVyzukBxqKGRg1zHlR0DWJ/72mjhK8raDwGueFnZZ1//FpDYVdm2YfI2xgKQazElf39iV86S+9mTQDzRsBPVFoJ6ohbisKEC+GUW/3tUApcN6H4NMHM10O1a4fumMGDYfcB967nrUSnyd3A1SDXwFToIiEOCbBYoDi8g563zFDpxqEOHDh3BgJYFU6ALNKf+5GwAlGD5Y0BNYWCPD3A2D75I7iNCHCpY5JJh33EdpbPM5GChdImeT8RhIDHsvuB9drDQeyLw0Dbg3rVcx93V/8cpDJ/O5ib+tMm4wUBXHSYoXCz4g1ZXHBIFY29XYAAVzL4Zh+e/VSllXJCzgpEC2T0eGqt84RaZDAycpvhQNKtSAAgJkfgbRM7npV8O4ef90uN65plq3P31Lv8y0lTgrdXH8MZauoq6qM6NW+dsFyUze6fw7/nDRTWCbQKBjcdKceuc7VifXQrSdavB4ca+/GrcbVyFt82fI4YRL1JHM414w/wl7jPS82baRAmJ4LtHdeSpyVa4L0Edq9AmCOAySrpepWhTt4fFEwv3K2oG2J9fjU83tVhmd4jnX4unK6zwUCzyyEJ+x0T6dXznyI6aVId0xaEK+0RCeeeyehWHRMZhk8oju1h5N3rf9tECe1E5jOxMn+MkRfO/I11xqCPQqHGIE3luo/D+rWrg32exYWbMnjYIydHy18+E/u3wt0s6ajpHEjanG0U10k0QSpASE4qJA/l2zA6XB8szizDt850Y+J816Pfqaoz/4E98tjkHVSL5tP5Cq7uDX2OBWgRbcaiSBDxbY8PaI+qaLj0eFvvzxYlD2ePT5vQKx8152/KoWbakXemHq48ATn4Tjk2GODQwwKNXaF/3eHN+1eBUOb2J6IICWcfRShxKre1ThzSpuVTM8Xwx9F6uyVip2tCL/J3ajucLMatSZ6Pw7w+E4pB01olsK3SQGfsscN3b9LVZaCxw81x19ZCkXkBMmvx2viDjU9QQpyGRHBHsiyKi/mUOlyajaTjwAxdPohbeZoWUgcCMxcLf/YHNwIR36U27NNSrtIAF+PmcJOlIrv1J0ldXHPoNnTjUoUOHjmAgNl39ZKmtSPC6P8j4TPm2bntgMxYrTwHr/gPUEkXrpF4tvvReyCkOq/KAzAX81/xRGwJ09dHFSBz2vRVIGRSczw42GAZIGw6MnAWMfhzoN1lZKDiNPGoN4jDQGYesGwL2whdixKHTpr6TTwK+OSrnvVUpVXHoB3EoGBdY4PZv5a1bQmOB6YsULRxZlsXe05XYRlhtRfiQDaGhyjMOD5ypxuI9ylTsWYW1WLBLZeFBA1ZkFmHOphw4WHpjjRNG5JQ14PEF+wXv9W7Hf6ZmFQSeOMwtq8fDP+yTtN3rxhTgFdP3ij7vH6b56MmIf7dipFZCZAi+u3c44prylKwIxeeuCYqOBYArnigsKmzMLpW0GCUxPyO/OR8zJTYMZmNL4cbu8lAL1qRVaUcJ9UNMuBnf3Tsc7WTIwzAzv8HCSxiSSqhapYpDQHCfehq56yuMsCq1NmVaZqtQvIZbTLh1cHvl5wLgjpHp1PcEVqW1fpAFAptWH+iKw1YHy7LnRU5YNYU4dBqF9yapOIwNtyAtPhxLHxqFy7qJP5NDzQY8ckUXfDR1EAwBUhsWVFklp0tKEB9hwVd3D+PlN+aVN2D8h3/i8QX7sSO3AtVWJ+rsLmQX1+H1ldm49M0NWHNYYeyCQjRosCoFuO+11SBl/e/n2OH2sJryGn87WKRq+5yyeupzQjYP2g/i0On24LPN9CYqJ/jPuBX78+G2K7cqNRoYvHlrf4yQaECRg+1c52GfSwgUhwqbkJRalXrRYzzXJDvs/qZnsUKkDgdGzKI7SknBZZN3s5EDee07G4VqQ1OotngQORIqKln89REPcM3F/afwX287AHjqqKomTgBcI+/Qe1TswAAdRvJfClWuvAcgdEYqItZCWm1KDy7Wtp9vjYFlBapnRInnw8pCy5rc95prIGoccopDq6449Bc6cahDhw4dwYA5FBigcoIyRM3kRAa2GuDYH+r2yVzo/3HrSrjg7Y8GAVvfJd5kgK0fABHEJIOmODy1BfjuZuDDAUDWT/z33E7/Jr1/FeKw+3hg4ieB/9zzHeeSOPRXcShmsyp1rZOTeHNowK8l3+JEo9N9XhQ1qQinEYd+hMmLdR53vQqYuYqSUcIAPSZw1i0KSPujZ2tx4+ytuHXODoFl5H9WHMF7a4/D42ERGiZhN0WMad/vOC17XN72O08H9XdlWRZzNnFFMifo16ezKdNve04FMs/ww+zbRPHH5z+yijHmrY34ZONJVAZI8fHl1lOyCry7jGtgZJR9VwaGxV3G1aLv0YqVPdtGY6qPTd5s981Y5Lpc/mCXPgUM/pui8wKA5ZnqCqwVDQ5sO8kt1o0GBmlxpOpQqDTgFEB84k2KOASArklR+O2xS/Hw5V2QECF8Jo/plihQMrVYlfKvrXq7S3nxmWj2YpuIQzGrUgA4WqzOKncW5e8Rw+QhqeghkbEmzDj0w6rUYKA35OiKw1ZBeb0dn2w8iSve2YSuL61Et5dWYvwHf+KbbafUqWYDCBpx6GBEiEMijzO2qfEhNS4c3987AuueGiO4N7+/dwSevbZnwCxKAeCUnzalydEhWPbwaPTyaVIprrFh6uc7kVtGV1I1ONx46Md92Hxcg4qCAi0ZhwAwqEOc/EaBAq15ijEoznWmQY1NqS9I1wY50GxKFZ0D1apUftzcmF0qqQ51EcShx+2EzcpXDE2/tJeoQj8hwoIF94/EbUNVqqUIaPkNOib6EQtwPqE1rEq9SOgCTHiHs6p8ZBcw5jnpekSXccCMJdx6T210AsCRKn7en4K1rrMxMPmGADfvCJFouIykEIcAN5fpdg2xfZL25tHhDwLJfZVte+nfhWOiWqvWBJI4zOT/P0TjWrZGo4Wwb43BZYPANtWs8X5vP5QeK0ODLykrZ1WqZxwGHDpxqEOHDh3BwsiHlD9QE7py1oyBQu1Z9T7mNQXSyiYlx/zq6ibCUuxzWGDre0DuBv7LdSK2Mru/BL69EcjdKH6so8u5bEalHYAkaL9LADI5NEMr2ROdKpxEpw4HbvkCmDpfGVl1seFcWpVKfd9aMg4B6axCF1F4MIVxC9Wk3vLHUghfq1K3h1VtH9WqCIZVKVkEcjUVEFIGAX9bDsSk8t+fthCYNl9RjkZWYQ1um7sDWYXitocOtwcfrT+B55ceRGiYxN9ALCbVFjBzyxpkc+78weGiWhw5y/2Ndgni0LdYtmhPy0J32f5CvLj0kGD7/Eor3l59DFe8swkZuRV+naPV4cIyGWtXBh5MNG5T9bkTjdthhPAeliIEdvr8LSwMeN51P551PoBjnlThxu2HALd9C1z1qtC+SQLFNerJpuKalvGmA5FzeLpSWLTPJ16LCzcjJlz+OZsQGYLnxvfEjhevxMzRHXnvRYWaUU/kf3mtSiMsJsFXUG9XWIAnLTsd3PUaRrEqzcitwPtrj+OMyN8thnYxYfh25nAkRkqTh+P7tMX/JkkXqsiMQ7/tCWkFPjlVtQ6/sf5oCca+tRFvrz6GU+UNcHtYuDwssovr8K8VR3DFO5txgGiiaA1U2cTXA3YFxGFcOP8a75oUhfax/PlPMPpU8vy0STQyjGBce2tVNopr5cdKt4fFC0sPwhWg+ZEWW3izkcFtQ0WeEcECjdw4BzalXngzg5VCijiUch4AQJ9XKmi4kMtoJolDE+MGQ6jLpo7ugS3Pj8PLE3rxXo+PsGB4Jw35bL7Hd3vk/34RTPGTrDxvQCrlFBOHpOJQxdreHAq06QGMewl4MovL7Uvuy5EiMR2AvpOBe1YCd/wMhDUp2cLjgfRLlR8DAHrdpG570XMl1rOuRq5p3RdSNuhykFIdks5VJMj7z+3H/CgkErjzF/ns8FGPAeNeAWzEs1otcUiuG+3Ed6q1CVZO+UqDr+LQQcx1DSZtilKAU432ukHdPr7qT4HikLhe9IzDgCOIgUo6dOjQ8RdHfCdgynfAgunSk5aoFGD6YmmLQ7XQQkIZTKqKjgL8fD9QrUDlUnKY/39ScXhiHfD7MxAnH32Q/Ruw+iUu704tLibFYXIfjiCsyuMsSyLaANEyk+qLHWLFTnMYEJ0ifD3QCLRVKdDUwUopRJDZD94F05C7gZXPyR9PAXytSgHOrlRtcabVoNCqtLC6EYt2n8GRolq4PR6kxIbhlsHtMbhDHBhyHJTLOiEVofGdFJ2q0+3BrB/2KiI2luwtQEJviUIisZisbVTfVFHT6ESwSj7HS1qKZJKKQ59i2YmmfdYeKcHfFx+QLDTXNDpxzze78dOsUeidoq1YkVvWIFusjUIjohl1BGsEY0cs6lEBfgGhjqI4LK+3C4gCo8GAJe7LscQ9Fv2ZXHw2IR7tYsOBxO5AW4Xd0AQsJvX9o772pOlEzmG+iO0pmXekVo1gMRkwtkcS5m3La37tWEmdgHSNblIzGQwMIkNMvO+2zuZETJiCoglR4DHauetPkHHYNBbbXR58uP4EPtpwAtf3bYfXbukne5y+7WPwxxOX4bmfDmLTMT65PzQ9Dndeko4b+6fIWjcmEfmYflmVAnTF4V/EqtTl9mB9dimW7i1AfqUVBoZBj7ZRmDIsDSM6xQufCQHC9pxyPPj9XrgkVLHl9Xbc+WUGlj48Ct2TVVjZ+YlKCldGzgcAoMrKfyaKNQdEEBmfLohSWQAAIABJREFUDUoJfRU4RaieIyxGNKgg4IpqbCittTVniFbU2/HbQQU57E04W2PDuqOlGN+3rfzGMrDa1ROHd13SUTA2BBW0xoJAEIcaFYeDOqizBtxLyTcEALtT5hyMZm7OLlCZyf/9bhnmXEAcwg2Lh7gpzeEwGhhc368d/vv70eaXT1dY4fawfql5GzRcf73aRWNUF+3WqOcVyN+Q9QBul7yC0E1mHGokbKKSOev5sc/Kbzv8fuD0VuWfrSbnjwax9WxDKf//WhWHAFfLqKRY+dKsSr0gxyWywVYtIpOAe9cAR1cAv8zi1/TC4oE7f25xlxGQp2oVhzINp1q/07b96M34UvBVHJK2uFrVhl6MfR44vkZYxxDDkLuB+M4t/xcoDuWIQ11x6C90xaEOHTp0BBNdrwLGvSz+HmMABt4B3L+Bs6kIJGI7SNs8iMGfjMWiA0DeFm37khmHm16HLGnoxZ6vOKWjWtAsKy5E4rDLOG4hk9gVaNf/r00aNlYDPz8AHPpJ+J7TBqx6wf8FhBwkrUoVqN4MBgjypsiihC+cZCGh6fgDpnFNCUogsxBpJHJUtHTCtxpoisMmYq3R4cYzSzJx2Zsb8NH6E1h3tAQbj5Xhx4x83DpnB26avQ05ZUSAvKB7lSDlSLtYhSqdtUdKVKn89hZIKJuIZgjSFk4JFJErGuFbF3eAfhyXD6noYbmC/qu/ZilSp1gdbvzvjyOaz1GqeN9yftoIczKvCBASh3nlDfh4/Qk88uM+3t/bKTECQ5rt5xgcZLvgz5AxQN9bqKShx8OissGBsjo7VQHTL1XlHAFA/9SWomwHwnI0T8SqVE2+IQ09CcvO3LJ6gRIiyifbUJBz2KiQoCDIs2Qnp3ilWZV6wbLA74fOYspnO1CjgLBPigrlfY8AcNuQVPz00ChMHNheUd5bUnSAFYc0ZcAFaFVaY3Xim22n8PTiTDy2YD9e++MosgrpeahHimpx1Xub8eD3e7HmSAmyi+tw5GwtftlfiKmf78Qtc7ZrUufKweNh8fIvWYrGnTq7C/9ZoX1s04Jyyp9sFWliIq/7OAXEoWIlsAqQisOnr+0hmbH4wJjO6NKGPyZl+mTnbjpWplr5tjpAWYdqMw4n9G+HF6/rGZBjKwZNbRIA9xYtikMDA57NtxQa7C6sPHRW0oJW0TmIzesVjJupsdKNhORcIxQOmEBcE03Hbhsdysu2dLg9KKr2z0GiXuX1lxQVgrl3DA5YXuk5h1g9QInqkFQctoaTUa+blKsIRz/B1Qr8hZc09wVZzwmW4jBSpjGDvP9cAXh+G83cnJtssrJE8iMp/CUOQ2OEkT6+0GpVOuRubfv5fncC4tBPR6vkPsCUH+RrI71uBK57m/+alXCYIWNK9IzDgENXHOrQoUNHsFFxQvz1lEHAzUHKnzNZgEEzgJ2fKt9HVQA0gQPzte/rO9E8exAo3KN8X48L2P+Dso48X9CsHs6pVamGgrQ5XH3Y98WKxirgmxuAkizKBiyQMRcoy+YUvsEqiEoqDhV2ghtM/MWnVMahwKq06Rih0cCMxcB3E4UTbF9YooDpizhrYApB2UgqDmUy4M4paItNczjsLjfu+WYXdubSFxCHCmswec52/PTQKHRp0zROCLJOiO+cXJQqXEwt3VugaDsv8mvdAO0SIojDMd3b4BcZ201fdEwIF1jJBRIdfNRpbhjgYRkYRHICfQm2DvHh2JBdKsjIk8K2k5x95PrsEhwvqQfLsugQH45bh6RiytA0JETS7/t2IllBJKwIQZ4nGR0NIhbbFBSwiaiFkDDzqubO1jTipV+ysCG7VLANwNmODUyLxa68lut2f341pgwTFkhLam34YedpLNp9pplMirAYMXFQe9w9qiNPsTR1WBrmbs5RbBk4ND2Ol7vXkbD0I21JASCPUCGmJ6i3DE6KCkFsuLnZDpHkWcxGhlc0JUlz2Yw4t5ObKx1czHt5OlaiuyUHkeD/DVZW/BrKLq7Dv1ccxnu3D5Q+HoDiGn5Rt0uSumIQmXFY0cARxCajxp5gWvPIBaQ4dLk9eGfNcXyz/RRshFLo8z9zMaxjHN6ePICnej1eUocpn++gqn+Bpnvt8x1Y+tAoJEqMH2qxLaccuSqsNbeeLEdOWX3LcynIqKBYlTaIXP9VRMZsbJjwuokM4c9xg6E4JInDQWmxmDm6E06U1GHZgUIUVdtgMjDokxKNSYNSERNuRkW9Azk+5FHmmWpc3ZtTtGjJzg1U3i7ZoDW+TzJcHhbrs0sFY3b/9jH4eOqg1idtzjPF4dThHWTnMaW1NszeeBI/7yuUJa/tSua65jDATljNE39/Sa0Nvx4obFYzd0+OwtgebRBqNgjGKi+crJHXQxjNiDSONc01DQYGHRMikO2Tu5tb3oC0eO0W/fXEmBgVaoLZaBC9vgemxWD29MFIjfMjEuB8g8HINXj7xr64HQBk/kZyHeVvlqASGAzArV8CK54AMhdQNmKAy57i7E8DBXM4/9qvD6Ti0A+rUkG8RAAbhsnPIi0w/SUOASCxm1C96YVWq9KeE4A2vYCyo/Lb+sK3OdlBzFe05kb6ottVwIN/Ats+BDIX8msfobHAtf/jGqF97yOWlc841BWHAYeuONShQ4eOYIJlgZPrxd8jlUKBxohZyicYselA31u1H6syV/u+9pqWyUjhXvX7qyEavTgfrUq1kJZXvqptUnox4renJEhDH+RuAja+FrzzkFQcKiRmyIWmJHFIdBX7HqNtP07R3Hey0C6HMQA9JgD3rQXSR0lajpAKm8bzWXFoiRQuGgHAEo5PNuZIkoZeVFmdeGLhfrDe6pyAOPQpnLCskDhUqDgUI1qkYJdQ6sHC74K9Y2S6qs++Y2R6UIuOQ9PjfEgjBg5K76KvjenkIanYeExdViMAfLj+BLIKa+FweeB0s8gpa8Bbq45h7NubsJFCzgFAcnQoRnaWywVisNB9harzWeAaB4GKGJzipqDKils+3U4lDQEug+kQoZjany/MPNt+shxXvbsZH284yVOgNTjcmJ+Rj/Ef/Invd+Q1v56eEIFJg9or/jseHce3UCJJwNMiVqVkIb+TSqtSAGCaCq00RIWaeVaSpOJQihSCyw4smAas/aew+AtgqOE4whg+8SimuPJiRWYRSuvk53ZnCTJcCWnti5gwM89qlmWBCn8IiwtccejxsHhi0QHM3ZxDLcTvzqvCLXO2NyvKWZbFs0sypa+PJpyusOK1P1QW3GSw/ij9nqdBavwKNMqs4sRhvVv4HKomFIexIorDyCArDm1Ot6DJxDvedEuOwrPX9sT7Uwbi7dsG4O7RnZrtVAem8efQvjbR4SHqi/7hlsAQBVZC8ZWeGIEv/zYM218Yh2eu6c57r6jG5lfShGZQMw4DoDhUSRxe1SsZ/7qxj+Q2J0rqcOPsrfhux2lF159dieJQbL7X9FqN1YknF+7HqDc24LU/svHDznx8t+M0Xl6WhWve+1PyeegmFIcjUojv1BzOixfpTChnT5HOGSpBfj/J0aHY8eI4fDh1IK8RDABuGZx6cZGGXgjm/goiAMhttFqVqoUpBJg0F3hgEzDoTs55KiwOiO8CjHwEeGwvcOU/m1xtAnVM4tqvD6TisA39PVmr0mASh8T8zlHfknsPCInDMHXWyQCk7Uq1Kg6NZmD6Qi4rUwoMcX24gmhV6kViN2DibGDCu/zX04YDg+4Q1kTstUL1L+k2FE6s5fSMQ7+hE4c6dOjQEUyUHgVqKaoPu3Qwut+ISwdu/06ayACAyGRgxhL/LQf8gVd1qGVyp2Ufmi3COVUcEoX00Djx7bwY9zIwclbwzudCQnU+cGSZ8u33zBN2zgUKUqpCuXvRC/JaoFmVetzCyTO5YIrrCEz+CnjqCHDLF5zdx81zgScPAdPmA0m9ms6bfm42lr94Pp+tSlcfKUEFK1xYLcisxNdbTyn+nKzCWuw53dShSMs6AcQtcBSOpQaVlT5p4pC/gBuSHoebByqzqu3ZNgrTRyiz92p0uLE8swifbjqJuZtzsDG7lGqF6QuDgcHM0S3ZjzS7UhdrbD6nUV0SNGU10lBvd+H+7/ZgRw5dgXv3KPl8ygXucShjlRVEKtlILHCPE32vttGJR+bvF5BIYtiRyz/n46X8nL+swhrc++0e1EkUQz0s8Mqvh7FsfyHsLjd+PVCISIsJcWHyBjT/vqkPLu/Bt09KjQvnFatrGp2osfJ/L5JMTNdgVQoI7Up9QSoMBYpDu8Q1tPI54ORaVefSSJX9Ak43i+UHimQ/g/zN20arIw4ZhkEbQv3mV87hBa44/H7nafyuIIuussHRZAXM4sCZap4tpRx+yzyLinr/CpB2lxtuD4s6mxP7JLLVaKi2Bm48lEN5gxseVviMqvMIyeRqIuMwNlx43QTbqpQca2LDzaLnQWJAGr+wm1lQDU+TrHl4R7lGEiFGdFK/jxjIjLkIC/f9tYsJw8xLO8Hk0+hTXm+XVK+yLIsjRbVYe6QEG7NLUeinjWUzNCoOT1c04LU/juK6D7fg0jc3YMJHW/DummM8e02SOGwXE4qreydDrL/pih5t8NmdQyRze2ttTtz99W6UqBgnZTMOAapVabXVgds/24FlB4rgFrEjbnS6cfRsnYBQ94K0N79nMLEmJI5LkpBkvrBakIrgiBATQkxGTBzYHjcO4Cu+fJWOFxXIJkRFVqVk3mUr1xVSBnEkzJOHgOfzgMf3AeNfC3wkDiBc69QRThxqI3N8IUUcylqVBjjj0AuPR2hFC/DVbI1EU59WxSENtDxqJYjrCNy/Hhh8l3g9ovPlwMAZ/Nd4ikOCOAyE4tAXpJKU/C69aCjn/z8sTpg9SioObTXSTdg6ZKFblerQoUNHMFByGDi0BDi5gb6NoxUm2l2vBO5dDaz/P5HiGAP0v53rQItJ9e84bXqoLr7xUFfMTWqjZCaDYtCyD9Wq9FxmHBIdVTd/CuRtBXYSdrYDZ3BB6L6e+n91ZC7i28nIwV7LhZwPmBr4cwmK4pBSYBMjrWjHj0zi7ncaJBYAAsXheWhVyrIs3lp9DHM25eB3SyQSDHyiJbeaRZ1bXaHy530FGNYxnp51YjQJ8w0Zo+JCQfe2UThWovw5IJUNKKaifnNyfzjdLH4/RC+od0+OxHczhyPcIr0ksDnd+GDdCczPOI1aQqGTEhOKB8d2wV2XpPOUXyTuHJmOXXmV+P3gWQnFoRHxERZ8MmMwGIZBtAJSSw1cHhYv/XII654aK6qwvLZPMqYOS8PC3Weon1GDSNzvfAaLI96BxSlUqXlRy4bjPsczqIQ4KZNXYUXmGcrCWARGA9NcgGRZ4GBBDUZ35eycXl95VPF9+dIvh/DvFYdRpYCEGNEpHo9c0RVjuguLOKFmI9pGh/JIsNOVDegfzhXiOQUQ//7opJE47OEHcUjNOKwpBPZ9p+o8nKyRp4oVwxkFSmIyMy9Fg01wUnQIjwAoq7cB0Fiou4AVhx4Pi3nblDeFZBfXYXtOhWrFn8PtwerDJYqbLLw4WVqH73ecxvLMouZ7zsAILXeVgCTfgolKqxNOmBAC/jhR4xJRHFrlMw5JgiTQVqVkxqrSPNWebaNhMRmaiao6mwunKhrQpU0kuiVHYUSneGScUqZWCDMbMWmwn+upJpCKQ18lY7jFhH6pMTzleUZuJc/Gtt7ugtXhwrojJfhux2kBuTO2exs8dHkXjOxMyYVWAtr4QFlLuT0sXvvjKL4imrgKqhpxuKgWn27KwWPjuuKJK7vB4eY/z6JCTfjirqEorrHhow0nMD8jv+VzWe75KIVFu86oJkyVZRyKjN1GC178+ZCi+R2NQCczDmMMxLlbSOKQv65VY4Os5LyifO7fHm35z4tjFy1xSIxjZEyBGARWpRdxuZ0kzesJ4jAYGYcGEz3L3otgZBwC9N+/sbJFBRkIq1IpxaHFD+IQ4GoBN30MXP0fzhHNWsH9jumjuDrc1vf520sqDgNMHJLqTPK79IIkDsVI5pBobj3O+jxHbDVCJaIOxbiIRzIdOnToOAeoOg38+giQt0V+W3sdV/0Ltr9MuwHAHT8Bc0bzrRzThgO3fB6YYwy6A9gxW/n2plD+RM5rb9H1Km5SpIZU1WKxSiNJzilxSDySLeFAv8l84jCuE0co6uCjMkfDPn7Y60pBMuMwwIpDsovSYBJ23SmFxAJAkHHoCGzBLxD4ISMfczZx10GFiBqMJD+VoKCqacFkNIlkndgBhAuJQxULqWnD0rAiU16d5MWILm3gKjDAxIgUs0SaIUJMRsyePgjhPxmxhJKnOGtsFyRR1E6nKxowf1c+duVW4lhJHVVpWlRjw6vLDyO7uBavTepHJQ8NBgYfThmItLhwOHeKX6f9OrTBP28f1ZxDdmnXNliwi07iaUFueQO251Tg0m7CwgTDMHhtUj/ER1jw6SbxcSUyxIRZt02Bpe0E7PziCQy1bef9Ji7WgHWeIXjbdTtyWLoV6AkVpDEAgWphb14lRndNRE5ZPbadlMgxJdDgcKNBQjUcajbgmWt64IqeSbJ5ah3iw3nEYV6FFf1TucX/mUorL4srNtzcbA+oFj2krEpD+J8ZHUZalVII0v3fq2s4gYzqtwlylr+1NqegKJsUrX58InMOg6M4PP+Jwz2nq0RtcqXw094CZaQAASU2tL74cksuXvvjqIAk1EIaAsAlXfwgeVSiyuqEQ5Q4bBm7G+wu/HqgSEDaNYjMEYSKw8A2IGm1RbaYDOiTEs0j4TLPVDePfc+N74Gpn++E0y3/oz06ritiwgKjMCKft2Rzz4hOCXzi8FQFbh6Ugp/2FuDHnfmypNXm42X480QZ/jOxL24bkorfD57F4j1nmvMeOyWG47YhabhxQArCaParVOJQ+B2wLIuXlx2SfJ67PSw+WHcCDpdH8Hz2qgnbxoTitiGpPOIw80w1WJalzj1YlsWPGaepx6VBq+KwqN6DVYeLRTaWR7jFiEs6xyOuNBy8eF0b0aQUZMUh+YyK8LHtJZ/Hx4vreN+/zenGseI6NDhciI+woHtSVOvnbwYCAbEqvYjL7eR6lyQO/co4pCgOI5Pl7VbJcUmJUlQJaASkr+IwIMShlOIwQBnHYXFcjYkE2XzsqzgkiUNa7I9WkN+VjaY4JCIswkVIZobh/karD8lordSJQz9wEY9kOnTo0NHKqDwFzLtWOHGiwePiCv9SRENAQUzalUyAlSKpF9DtGuDEGmXbJ/fh5xl6rUpDIjkSMmOOss+J7wx0uVLduQISGYfn0qqUOLbHxXnn+yJQE0YdEMscCwhoij/GoJyYZogiDa24TZJWCrP1RCFFHLL8Rdj5ZlXqcHnw0foTzf+vhJBkaGDVfze+VmAwWviLRu/4SS4kVYznl3RJwIC0WMWqs1lju8I53wwTRAgCytjAMAzcLL3gmZFbiVsIhYTD5cG/VhzGgl35kNhVgAW7zqBHchTuHk23+zQZDXjhup6oOxgumjkxb+YlQGjL+HxNn2QkRYXwMvsCgbVHikWJQ4Ajfu69tBOVOHxsXFeM78sp3R91/x1G+1SMNmQhhmlALRuBbZ4+KIZ8gV/KVlQJ3lt3Ar8cKJIl99TC5vRg8Z4zPGtZGjomRPDUOPk+BAJZuFSqABJDd3+sSmkZdkUHVJ+HW0HKh1QeIyBUGyZGWhBiUp+LlhTFH2v8ukdoxa0LQHGoNivWuw+Z0akEUlaIJL7feRr//T1wuYh920djQGrrZFq7PSyqrQ44RJToVU5urvrHobN4YelBgQIdAP42bzemDe+Af9/Up/k7I4nD80VxCAADUmN5JNyuU5WYNKg9GIbBkPR4fDxtEB5feEAyd+/eSzvh4csDZwdIzrMiiLzFkZ3jMXdzyzNq28lyXP/hFuSpINFZFnhlWRY+WHtckJFaXm/H7rwqvLv2GD67cygGpolkddEaC0TmultPlituAvp0Uw6SiYYmi7Hl3uudEg2L0dBM/tc0OnGqvAGdKc/Cmkanqu/Fi0angmtUpCFwVXalqrmTLyJCTHj91v5IWhxNEIcEISFDHBZWN8LmdCPUrC1zk7w/I30adDq3iYDZyDST6XV2F4pqbDAbGHyxJReL9xSgxsdmPj0hHHeOTMcdI9M1n885gUBxeAFYlbYmgqo4lCAO5SCwKg2Q4pBmeWptmgOzrAhxqCHjMC6dI5zFmoZpjlmBgkCt6VNnICNeAh1xRH5XNKtSK6k4pKhTw+P52zaqt4fX0QI941CHDh06AgGWBX66Rzlp6AVJDAUTpMVCoDPebp4LJPaQ327gDKDjGP5rdT5Wele8CCRJB9wD4AiaSZ9rC/qmBTqfT4pDj1v4G/lrUXGxQioPIJD7KIEpBKKkpClMubpYseKQWAz5RRzSFwDhEfzrrjWJw6LqRqzKOotl+wux7WS5aOFu3dESlPkUzWtZYUFYScGfRK92PoteWtaJgLxVvpBiGAZz7xiMtHj5fV68rifGdG8DByhjlETn54kS+nNmy4kysD4VLo+HxRML92N+hjrS0IvP/8wVzfMh4WIoxRSiyGI2GvDKDb3Vn4gM5Gw6MwvoZK63QF1nc6K83o4SxONnzxh87b4OSz1jFJGGgFBBqAWnyhuw7qjKeYcCHC+px+YTZbLbdSDIF1/lF6kC66iBqPEiOtSM9hQ7z6hQs+T/xYgNAMpsxwjI2ZRGWIy4oX87yW3IfMN2MdqKLwLFoUo1HA80ZcAFQBxqEbIYGIgTITIYmKpsn5pGJ14LIGloNDD4x3W9JK2gAcDp9uCPQ2dxx5cZ6PfqanR/eSXGvLURb6/OVmXTWNvohIcVv96rnEasyCzCI/P30e8tAAt25ePxBfubx7moIGccChoVEpWPN2lx/Htw4e4zGPa/dXhjJfe9je/bDssfGS16rXVKjMDXdw/DKzf0lv191IAkbkjF4dCO8Tx7zvJ6hyZyDICANPRFSa0dd3yZgaNnRWy5VViVfrtdneJvDaHY8yXtQ0xG9E7hj1m+xC8JuwThKwWbIsWhcN6dW619jlxWZ8e93+yBh1wH2AlCgpjzxYWbeWpXltXWVOFFvY0kDlsIP7PRIGhYWnekBNd/tBVfbDnFIw0Bbi7w39+PYtoXOwU5yOc1BIpDDcQh2RR8MYFcN5J/ezAUh0riachxyeNqyaX3B3KKQ0cD3xoT0PYdGM2cw5QY/Mk4VALyN5VSHAbaqpRsYHPb+cf3glQc0q4VMudQpFlVh3LoxKEOHTp0BAL5O4Ci/er3s9PzkQIOcsIbaOIwIgGYuQoYMA2ixEl4AnDVv4GbZgPRRGGtzmeBGBoD/G0F0IkgF30RlQLc9SuQNkzbudKK7OeySCaWa2fXFYeKMGCaUKUnhdBYoOeE4JwLw4gTeGo687QSh/50/0kQTylt+JNvWytkHB4sqMZ93+7GpW9uwKwf9uHJRQcw48sMjHpjA95be5yX/3OgSbFnhgvPmhbiduNmwee9bv4Sz5kWwgxli0eGAaYMS2t5gewa9nae+qE4BDjS4OeHRqNdjPh+XdpE4JPpg/HgWE7J4KYVISi/n8fD4mQpnTgsqrE1W5MBwM/7C7EyS5vFlvfz/jwuTzjRMg7FCo43DkjB/yb11UQQ0CCXFXZAogjp/T7zyvmLaLU142C7lPuLJXuk1SEsywqs3H7aW4CZ3+zGxuxSgQIo3Q/FIUDPOZTNOKRZlUanqD4HKys9R7jjknQBcUniLEHgtKXc+3JoE1CrUkox6lw2UymEnMJTDN2SozBxYHuEqVC/dE6MUJwH9/O+goBlAVuMBnw4dSBGdaV01TfhbE0jJs7ehod/3IetJ8tRZ3fB4fIgv9KKTzbmYOxbG/Df349gX34V3b63CV4iycEKx8lSuxHPLz2oqLFk1eFi/LyPs8kWWpUGWHFIjMdKrUr/OHQWb6zKFrxeXu/A3M05uPLdTVhzuBhGAyNqMTuhXztc0TNJ0zlLgbx+wgm7ULORETQPBAv1dhde+uWQ8A2FVqWNDjc2ZKtrcNmTxy/yWghVNkn8H5BwbogNN8NsVP/AVdTcI1I8p87TFOJQYQ3KGgjSUqA45M/3GYYRXPO5ZdrX+fUO0qqUf/+S4+5bq7JRXi/9DNqfX41ZP+yFJwBNU60CgeWlFqvSC0hhqRZyzar+KA7D4jinHhJKiEMxJbSGRjEBaIpDLyFF3qOWSO3xIbTm5mAThwK1pq/iMMhWpeZQ4fHF7EobiGgGmuIwjLAl1RWHfkEnDnXo0KEjEDjwo7b9SGIomHARxKEzwMQhwNkCTJoLdLiE//rIh4GnjgKXPskpBEmriTqiUB2RANy1HOg/hf96XEdg8jzgiUygwwjt53leWpUSk0u3U5j1GGyLigsV0SlAv9uUbz/8gcBbbPhCjDxS05knRiKLgezE84f4pnwfLtaADgRxGGzF4aqss5g8ZwfWHS0VFOrK6+34aP0JTPu8pXPZ5nTDDBe+NL+DR0zLEcoIF/cRjB0Pm5bjK/PbisjDG/un8IkOWgGB7MDUoPpMiLAIyNjpwztg4QMjse6psZjgo2ByG2iKQ/HFZEFVI68AGWIyCApu87aewtGztbDanTzLV63ILpbP7rOLFKQBhlpkmTEiHaueHIPpIzoICqhaIJcVtl+iCHm8pB4sy+IUQYz1ax8jqR6NJM7bcJ4zh6fK6WoFu8uNJxcdwEcb+NcLC2BDdinu+WY3/jh0lvee0kI+DTSCKJogCqNDyYxDyv2u5pnRhFLQFWfjeibhmWvkXReEikNtxCGZi+ifVemFqzjskxKNPinqCpRTh6UhJsyM+y+Tt+P14omruinO6dqQXarqfGjo0iYCfzxxGW7oL01y11idmPFFBo6IqcKa4PIAX245hVs+3Y6h/12HZ5dk4mSp+FhdZeXWC2KKw6IGo6o5wLc78sCyrMBqM5BWpY0ON4pr+fdVRwXjzZYTZXhswX7J/EKb04OHf9xhq0+mAAAgAElEQVRHzSMONAHqhVBxaOS997d5uwRjSTCxL78aWYVEYVyh4rDS6lCd62knfhNfq1IAGNRBOXEYYjLimt4KCAcCUta0zRCZO6clxolsqA4FtcSaXSbjEOCaG3xBNu+ogcCqlHjOko08UrnJvtiRW4EtJ8vlN9SI3LJ6/N9vRzDhoy24/O2NmPTpNnyy8aQsqSkKWsOgFDzE+uOvZFVKwh/FocEoJH4AIFIJcWgSNhMr+e3kQFMcWinEoRabUi8SKLbXwa4DkeOZ7/dG1g0DrTgElNmValUcWnXFoT/QiUMdOnToCAQq87TtdzFZlfqCnDz1vIG/wIwiFYf8AiMAcTnGiFlA31sBk59d8FTi8HyyKtUVh6ow4R0gZbD8dt2vA8Y+H9xzEbOrVKNEExCHlAW5S7tNpgAU4tDGhCAugn9fBJM4PFxUg8cXHGjOrqEhs6AGjy7YB5ZlkRQVgmdNizDWeFD288cYD+E500LJbYakx+H1W/rxXxRknTSNpyR5q4GQzimr51lnWowG/PPG3hjZOUFgfeY2UAp1lDHtWAm/MNw1KRK92vELPvN35eO6D7egz6tr/LK28sKjQIpi84iQfzIFlu7JUXhtUj9kvnoNpvqqQQHEhysfuxMjLRjfh1588HhYySJkTaMT5fUOnCK6+Xu3i8bav4/F+1MGYHineMSFmxEdakKflGi8emNvrHj8Mt72NqcbQzr4UVg4R2BZFs8uOYhfD4gX0r0g7WC1ZMr5oidVcci/bozEPXO8uE5gYwgA6DQWaNNT1TmkG8owhDnGe81iZPD4ld3w2Z1DYDbKL63JjEOtikMy47DMH+KQVuAL4JzI6nDhTKUVpXU2nj2yv2AYBg+pyJYb1SUB/ZssR5+8qjtuJTJexfDstT0wcWB7xccgrfq0IiU2DF2T5Od9n2w6iVyxa5wCu8uDJXsLcMPHW7HuiFAJVulVHIoQh9VOdQqKrMJanCpvQKRMxqHHw2JHTgUW7srHwl352JNXqfg6IQmShAiLoIGABMuy+Nfyw8qstT0sfszIF30vWMShMOOw5ft7enEmdua2fhF0FelGoDDjMFRFNigNIcRnDErjF4WPnq2VdMO465J01ce0uxTMdUWK5zcN6ei3o0BlI3FdCtRMwjkf2ZxDzlHUQGhVyr9/ac9jJfhhpzrbWiVwuj14edkhjHt3M77aegqHi2qRV2HF/vxqvL36GEa9sQHfbs9T96ECq1IlisO/sFUpCVp2shLY64R1EUCZXSwgopwLpuKwSclGquP8+fsTaIrDYGccEt+bbxwHGc1hCQJxGEasichxDxASh+GURlCBVamuOPQHGrWzOnTo0KGDB60rBLu8MiNgICe8bgf3WjC64QTdQISNAGk1QSoOvaglCpMk4agVRot48PS5JA7J38HjFhLLesYhHSFRnMXtmpeBzAXCzsCQaGDYfcAV/9BuHaIUoopDf6xKacShfzaZ/H3FiScnEyKwcwumVemnm3JkSUMvtpwox778akzoHoGkzesUH2O6cT2+Mt6OYjv/fjcyDO4f0xlPXtUNoaSFHa2AQJK3GojDjFP8AuCAtBjB8T0eFj/uysdQBwOS8vKAwebcOlzRU7iIO04Qh2FmIxbvFregDFQpPzVO/jto9IjcgwoLLGajAZd1a4OFPn9HeIgRNTZGURH4+fE9eXlJJHLLG3gqNYvJgDaRIbyMsJOl9YJidafECISajZg0KBWTBgnJCFK94HSzePf2gbhzXgbOVCrPH2stdG4jPibsyKnAcor6Rgr+Kg5pVqXe38rp9uCtVdmC4mBxrQ1XvLMJV/ZMwuu39ENSdNM4yTDALV8AX18vVPdT0AbVWBrybyxyXY6XXDPhggkjOifgqau7K/47imr4v3VKgDIOy+rsYFlWW85aEBWH23PK8e32PKw7Wtp8f7aPDcO04WmYMSJd0JiiBTf0T8HholrM2ZQjuV2XNhH4aNqg5v8bDAzeua0/tueUi6q3IixGfDx9EMb1TBa8JwWyyK4VJMkshkaHG4soY7ocbE4PHp6/D0tnjUK/1JYiZ1UzcSgck61Qf02U1NqRTChk6+3cPMLjYfH9ztP4auspQeNKlzYReGBMZ9w+NE3yuj4tsEWWL2juyK3g2XTLgZYDGEjlpC9I4tA7DztUUINVh7XbifsDwXeg0Ko0PsKC9IRwQe6tFNrHhvGeueQzOy0+DPERlmaS2+VhkVVYg6EdRVRKAEZ0TsDM0Z0wb9spxeegaC4qmPMxSE2Ixg39U6gqVSVwgpiDktEmInPNTsQzW7RhRiG896cXERZpq1I1IG1o/QXLsnh6cabkvMTh8uDV5YfhdHtw32WdlX1wQDIOL+Jyu9x6R6vi8OgKYNkjwlxPANjyDlB6FLjlM2nbTlMIXyFHUwuqATXjkKY49IM4jKc0Q5F2oYGGQHHo8zeTxw6K4pD4zsSsSq2kVSlFcRiuZxwGErriUIcOHToCAZVd681oTeJQrFMqGKpDjwewEjYk5EOdJA4d9eLfBUkoBoo4ZBhxouScWpXqGYd+IyQSuPEDzhb3+neASx4FRj0OTPyEe+2qV1vnNxZT/qlRAyrNOBRYlfpDHFKsSo1hCCMsFq2O4BTKyuvtWK0yX29+Rj46Fa9GBKO8mzSCsePhxAOC1+MjLHjhup5C0hAQdtZ7CwiC30A9CbCbKKIM78QvfLncHjy2YD9eWZYlSrg1sKG455s9+GyzsGh+giAO9+ZXQcKVzW9EhZpwdW/5InujR2QJouLeHNqRvyAsqGpUlIP44nU9cdvQNMltSLVhn5Ro9GrHL4CcLK0TKHzkrPEsJoNANREeYsTSh0bh+n7iCkhy+9bE7ZTv6XuNaoFZP+zlFYLVoKTWhn8tPyz63kcbTmDGFztx7ze78cWWU3BQLvD12aW4/J1NeHrxAfy8r4BrgGjXH7jndyBeYSGxCVNMm/A/0zwA6pV+gVIcJkSG8K53h9uDaqtGpRtVcaidOPR4OEXX9C8ysPpwCY/UL6xuxDtrjuPaD/7E4SKR4qAGPD++J966tb+olbGBAW4fmoqlD41CYqTQ4pVm+Wg0MLiih/r8uku7SecRKoUS4nB3XqVfCkeHy4MP1x/nveYliMSsSm1QT/RaTAYBmVpvd8LtYfH3xQfw6vLDomr3nLIGPL/0EF5eliWqPiyts2H2hhP456/8sSE61CyrVtysIItXCYKnOBTPmJu/K/BqLaUQ3FsKrUoZhsGMER1UHYu0IiWtShmGwcBUfpH51eWHMW/rKVRbxQmelyf0wmPjulLnCWQMIpnhywPLAsdWAYd/Id8A1r2K165KUG2h7AsPSRwqsCoVZBz6RRzyxxTSqjQ1LgwRGm3jA5X/6sXKrGLFzUyvr8wWNBpQIXAaUUIcklalf2HiUEvG4dEVwKI7xUlDL479Dvx4u3D95QtBvIRCpaIUyMgfL6xexWGAiMPCvcDyR8TfmzceWPEk/Vz8haTi8AK3KtUVh35BJw516NChIxAYfJe2/VrLqpRlxYOhg0EcNlYBrM9iizEKJwKmEKF3fZ3QLklgYRodIOIQELf2O9+sSgUZhwEOor5YER4PDL8fuPZ/wDX/Bwy6o3VJV78VhwozDsnuR3+IQ8q1xZpCEU50GgfLqnTPqSq4VAbhHCyoBsqPy29IILo+V/BaeYOdnmlDyzoRKA7V/QYsy2IXoTgcRnTMv7kqG7835cWJKUAawB3z9ZXZWEnkyh0v4T9jAugQKIppwzsIrhcxNLjUW5X6Ijk6FO1jwwSv9U+lL9T/dVMfPDhW3tLwwBn+4nJQWpzALvBEaT1OlfG/WzJfSAykrWadzYWkqFB8OmOIgDC+Z3RH3DZU3kaRRGqs+FjTPVn5GNizbRQu6yokP1iW1ZzftjO3Erd+uh0FVeo6pkvrbJg8d7tAmeuLbTkV+POEfG6S1eHG0n2FeGpxJi55fT3mbT0Ftm1/4NE9wLRFyuyumzDFtAmDmeMoqVXXyU6SQVozDo0GBgkiJJgm0IhDP2zh31t7HN/IWMOV1tlx11e7NBPKJG4fliaqhLm6dzLemjwAsSKWxlIEUq3NJbDcVYLbhqTCTLIQGlBnd6HOJn38KgpJogbrs0t596VXcegksmhtrBkeleWjULMB3ZMjeVabAKd2fH/tcVnLYwD4MSMfX23lK8XmZ+Tj0jc34p01xwXX/abjZbj32z2SpF5tY2AIv2AoDh0ujyB30Uva7c+n22gHG0PTiUIsbc4p8iyfOryD4JlNQ/fkSHQjnrmk4jC7uBZZRXwy7XBRLf7z2xGMeG093lqVLXAgMBgYPH1ND/zy8Cje6wwDPHllN3x9zzDe63bafNDjBlY8DiyYAlQK55LY9iGivroMS65nMKyjtrzDxBhiPqHAqrRjAv+18no7amXGDxoaCMUhSfwzDIPuGu1KEyICm52rxoLU7WExn2I7LICgYVCJVSmxzUVtVSpBHBlD1DsW2OuAXx+BIv+T/O1Axlz6++Sxg6o4DCBxWLAH+OYGoCqPsoEH2Ps1sOgOoS1uIKBGcRiMmpScVanHAzSQ4gRKoxZZZ9SJQ7+gE4c6dOjQEQi06w90Gad+v9ZSHNKIh2AQh2I2pQaRx41czqG9TkisKgnFVgpR4vBcKg5J4tApVBwGOxRbR2AgmnGogjgkQ92VEod+WJW6jeL7ekxhgi7zxgAThxX1dryw9CAeW7hP9b4Ot4ffqKAQVruwAMCyHEkhCkH3atP+fioOC6oaeWoXA8NlLHpRUW/Ht9tbFAZ2VoQ4ZFt+uw/WnWhWWrg9LE6WtV6O7tD0OEWWjXaXG1axjEOVBRZSdbj5WBmyCmspW3PKTTkUVjdi20m+Dc7ADrGCIuauU5Wo9bEzZRggLV6++zaa6Nr3tUQlFSZX9UrGmG6UTloJdKFkop2tseH+yzrJ7p8UFYLP7hwCg4gsw+b00IupClBca8NTizNV7fPKsqygWLlWWZ34z29HcOPsrZjzZx5OJ14mvxOBu0xrUGV1KrZvrrM5UUcQDcnR2sdt0q6UOn7JwWiiuDCoL/CyLIs1h8/i000nFW1f0eDA7A0nVB+HBjE1SaOEcmjzMWnlmRq7v8oGBz5efwITZ28TED9KQTpyyhHTSho15MCywD4fQqrSKp5xqMWmdOKA9ogKNSPcYhT8bV+rsI2cuzmnubFnfkY+/vHLIXqjD4AN2aWY+fVuak5ddFhglEAkwRIIkHMsA9OiPg+mVbwUkqNDcBXpJkBrthR5PTrUjG9nDkNbmfGuU2IEvr5nOMgeMt/82KzCGtw2Zwe1UcLu8uDTTTl4evEBeESa0YzEmjQlJgxPXt0d7QjbaOr1te5fwL7vJP8O2KoRvmQaRsZos8frmEQU0Eklm8iaIiLEJPh+8zSqDklCnCT+Ae05h9f1DdxavqzOLtlUJIbfDp6V3wigZ5tLgYyWOJd1hWBDqllVi9rw4GLxTDsadn9Fj/IISsZhkK1K3U5gyT2AU0Fz3YnVwK7P1H2+EggUhz5/M3le58KqtLEKYH1+c8YgVBZ6Qb5u1a1K/YFOHOrQcTHCYeUmtN9NBGYPB+ZeCix/HCgSWrPpCCBu+QJI7KFuH5IYChZoE6ZgKB6VWghEEQvQkiz+/2uJiX14ol/d7wKIhTqfU8WhgoxDKT9/HecPAp1xyFIWRmRQuQabTIDLLHtvU4Hoe3m1LFZm8e/FQNoMFdfYcMuc7Vi4+4ymQmtydCgQJ0+GkDjhFO9QpFrD0QoIgoWUMhKgzubE/Ix8PL/0IO/13inRPFXa0n0FvJwdu0zm1LGSOuw9zXVVnq5okCysBgoMgFsHp+K7e4eL27wSqGxwCArSAFRbOpHqhwW78iUVq0eKxElFlmWxIrMIt87ZjtFvbBAQBYkRFoHiMLuY3/TTPjZM0d8eJSAOW4qBVQ38wmBsuBnjeiYhRYUirU9KNJUgrbO5cNOAFFzTR9xKlmGAcT2T8PPDo5CeIN5JHGIywCTnByuDXacqkVWorDh0ptKKNUdE3AgCiKzCWry5KhuT3l4OFKlrXhhn4ObVSu1KyfElIcKi6LqhQSznUDPECn0qFQO/HSzCtR/8iQe+3yco/Eth2f4izcoYX9RYnaIKQdLK0+pwYeGufDy5aD9WE3lxpLJGqa3doYIaXPP+n3h37XEUKbAYJWE2Mrh5YIqgSaG4Rvo3HdwhVmDjqAWNPo0LLRmH/O+iselZQ54jDWFmI+4fw9kAMwyDSILkbFDRhFRe78DaIyUor7fjXyvEbYtJ7MqrxA87xdVFY7urb8oQQzCsShtIm1KLqTnjsU1U4NRaanJnn76mB4+8AyChOBRfS3VNisKKxy5FR5EMSrORwSNXdMGyh0ejfWyYIF/Qqzh0uT14+Md9ggYMMSw7UITFe4T5n2X1/Hsqsek7JVWNoqRzTSGwY7bssbkPqMXA3C+UbeuDSYPaIzlW5h6jFO3J31RrziH5/YrltvbQkHNoYIAZI9M1nZMYtDzzFDfYaMo4JBWH2p/v5z2k1rVa8g0Ftr8yqMnnbD3FEBTFIeVaoykOSfWcHI79wf1NSpHxGafACyQEikNfq1JScdgKVqXe79RWA2x9H5g7mv8+YwAOLREnkMN1xWEgoROHOnRcbDixDni/D7D8MSB3E1B+DCg+BOz7Fvh8LDB/qtAnX0dgEJEIzFwFDLoTosNrdCrQ9Wr+a61lVUqb7CrpalILMcUhiZPrgJIj/NdWvQB8exN3DQNCBWKg8g29EFPvnVPiUEHGoa44vDAgVkzxK+OQUlwTWJWqLyhtOVGGu+Zl4KxVnAxoZC1YfZhfuA+UVanHw+LB7/fgdIX2ceimASlA31tVqdVYgxnL3aNE3yumqTuIsWHHibNYurcAZVXEQlGmA9PtYfHummMY+dp6/OOXQ9iew1e3VVudPHIh8wz/88WsSq3gX2+ZBdw+pE1psHBJlwS8e/sAxcqXinoHHCLKSbXj7/+zd93hUZR798z29N4TSiiBUEINvQmIWFBQQFREBQv2fkX97lXvtV574So2UFAExYqodJAeeguhJZQU0ssmu9ky3x+TTXbed+ruBAT3PA+PZnfazs7OvO/v/M45fQjikFTCkZ33BwWIQ6fLjUeX7MUDX+9uJlxJzFywA0Uyqh+lBVgyJ8hbcUhaDkaHmGDQ6/Ds1ZmKtm3QMXj2qkyUSBTStp2sQDVBrPRpE4knr8jAusdH4rPb+iM1Svwa1ukYDBawMFWL73YJNyqQ+GlvYavb63oQyaj/vYQz9dDBLX7fIEBm6fmab+hBfBh/fZ+tSgHhQp+KZ8p7q4/i/q92+3TfaXC4sEvk96cG+SIkX20TcciyLD7ZeAIDXlqNp5btxw+7C3nNBgyA7Pb8+4oSxc7pinrc+tk2lNUpO/+J4RZMH9gW/7giA3PGd8FrN/TE5qdG4+0be6MNoVwuqpZW28aEmkUzUtXA2z6wojnjkHAbYLllbh3UVlZtZDHqMPeWPrymCyHVkhocLKzGNztOq2qIWbi1QFB1Nig9hmoI8QWtQRyS6vNgc8v3cFUPbeZC94/qiDWPjcCzV3WVXfaJcRnCmbdizZwSKisx4nNAegyeGNcFEcHcug6nMHG46nCJYB6mGD7bdJLKuyyv4z9r40K5z2E28K93wets1wJVLhdDG/9ENFrGHnLf35R+qXjthp5g5BqpBFxzWJalHEL+74cD+M8vh1QTiKTikCQOHS43jpeqJyUfuzxDFWEtB7NRfTnbYlBI5lHEYcCqlAep+Y4visM6H5rEaouFXyfdErTIBBQjH502TrRBquPUKg73LVG3fFUBcGa7unXkQNYvXI0tNQjSqlTIpcJfkGRrQxVQfhz4aDin9CZrg24n8P3dwKLJtItaIONQUwSIwwACuJRwbBXnt98gIcXOWwEsvJ5WqgSgDYKjgWvfB1L78V8f9jjw0F6g/XD+6/bzROKKEYetYVVazy+EU4rDda9y12CdwGDv5Hpg0fXAuldaN98QEB7w/qWsSgUyDs9nTl8AvkOoC/N8ZByq2Qe4wsCDX++Gw8U2KwlICL2ulVXpn8fKmkkuXxBuMeC63ilAaByQNVXxekVtJ6AcwhM6McWhW8cvICzdehyPLd2L77YTdnwS1j1uN4uHFu/Ge2uOiSotzlQ2YNLcTShsyvwiyTAhxWEdK2yvdbREeyvs8CADru3Fvxd7isxKUWFthENIcaiywNIxLrTZvk0IswhbzmOldZTN20u/5uL73Wcl99PgcOPhxbsRFypOoigthIWZ+Z+xrok4tDlcFCEf1ZTHdmWPJLw0sQekhH4mgw7vTeuNQR1icE6CxPrjYAlyCILmpUk9cO/IjqIqQxK3DGijaDkpnKlUNgYt1Cj7TglqWfWK7XrWDDd0inMO6XxD31TiHsSHE1alNXacrWrAmyvzMGvBDsz4bDvmLNuHbSfKqeI5BaFCn0Kr0t8OFOONleqzZr2hBQEjRhx6FIev/nYE/1l+mEfYe4MFsD6Pn59zUkFjy9urjirOQjTqGPz0wBD8+7rumD2yI+4e0QFT+qU1EyokmSyqgvfCg6M7IcwPUi7MYsDgjjHNf9dYrZimX40hOr6yL5Upxa3636F32fDt7MG4b1QH6r6kY4AreyRi2ewhGJURz3svxOyf+sbhclMOCHI4WWalFOIAp4B87ppu0CtQUEstYbU75X9bKkE+C7ybcib1TRVUf4lBr2MwISsZwzvzGz5iQk1gGAazhqVjyd2DRDNwGQbCpCEgOt5xCoxTPKizO5Ev8JsiSTpSceh51n+3S/p5TSKvpI6yMCcJfg9pTo4nBG25T25UtX8z40QfHWfFnBxhwQc398H39w7GpD4piAszw2zQIS7MjBv6puKH+4bgtRuyOGWn3HiImMPW2Z2YuSAHq4kM4hqbE5/8eRKj31iHd1cfVXStutwsdQ16/3ZtDhdmLcjBl1sLyFVFodcxePKKDNw7Uj5nWg3aRAcjJkRd01mvNgqVYJTTiBLFIfFsuZStSqUcVnxRHPrQ/Co65zqfikOAq702+EkcVtPqaPl1lDXhKYZQHcFz7iiHHf/Gr4Igz5m1FFg4SSLzsQnHVwPL7gKv05DMOLTXKCP/AxCEauJwx44d2LNHud3h77//jkWLFqndTQAXCm4XcOQ34LenOcXayn8CBZtx3tp9A/AdDhvw/T3iBWZvnNkObH6v9Y/p7wzSrqDTWM6GjSR+/m5Wpbu+BNa9JL+NdS8Dub/wXwvTMN8QEMk4vJCKQwHiMKA4vDghNJFpDeKQytdTp175Yc/Z5mKnOHFI/ya0sipdvEOFJQsBHQO8MaVXSwHtileApF7yKyZlYUP6o6Jvk4oggLOryjnD/y0aGe4cWEAUEiQm0vM35yvKVimstuHBr3eDZVkkRvC/FztLFwzJ3KmEJjLhCEEcSpFsSpAQZsa2OaPxyBi+JfdZhSSQB1pYlVY3ODD90+2SeXsrDhQjMqilaONys8jzOieFVQ2Yv1lZxpbN4QYL8bGwYuKQUBx67BmrCNIhyKjnWVjeNKANfn1oGKZlp8FIFLrbxQTjj4eHY3yPJNgcLl72Iont+RVwealvkiIsqu3GxnRNwFA/VYdK3U4pa7xWRCkiccydrGqdTe7uAICSGmVKs0JCPZbkp+KQVO+sPFSMYa+uwburj2LV4XNYn1eKr7efxtR5W3HVu39KNxMIWaErsIdnWRYfrFWWZyiFiCD/C6xi6vUamwNrc0vw4frjsttwEeo0OcVhpbURP+8rVHyMDjeLpTnixT5SKS2ndgaA9LhQfHpbfypDVSkm901rIafqK/BW/bN42fgpIhj++bQwDrxgXICxW29FaGM5HhubAR0RXPjrg8Mw9+a+yEymC8dqCC8hJEUEoaxWvXKk3Cr8+xzaKRbvT+st+WxkIH0fcrpZv3JfhUDmJnqryMItRrw8qYei7fRuE4l9/xqLd6f1Roc4/vzB+5mT3T4aY7oKW1izLKf8Jn8XJ8usePZn4WaBTzafxicbTwiSVEeKhRtmyXNIEokeO16lTSfeOF3Jv47LKatS7j5HWpU63Sz1uamGTgUIBvcb7t0mqvm/b07phR3PjMGR/4zHjmfG4PXJWeiV5kVoyY2HvIhDh8uNOxfkYA1BGnrDzQJvrszDe2vk79WkVS7A2eV68H8/HMD6POlsWG90SQzD+idG4t6RHZstd7WCUa/DlP4ixLYIbh6g0CqVyjb3gTgk5/aXErRWHKb2V7e8zgAki8z7qIxDLYhDiW00VPqfceiLOlXr60unp4/DU2sgxQbnw6q0NFeeNPQg9xeOt/DAFEJ/FpLcDUAxVM/Gpk+fjgceeEDx8s8++yzeey9AUFwUOPQT8E4vTrG29QMuI2/TO8Dn44H/DQFObb3QRxiAENwuIPdX4JPRNGEjhR2fBrouWhP1/I5lBDcV2UxEYeZCW5WStgNaQMyq1OUA1r6ofDvHVvP/DlNX0JPFX86qlBj8uZyBjMOLFX4rDn21KlVXhP7eq3PbY0FGwibwulZWpYeLfFPEBRn1+GRGP4zN9Cp0mcPguvUn/OgeBidLD2+drA4nk68CZvyC/DrxiZaQ5eALPx/CmVp+EcsIrjhAEocHS4Wfqy43i0//VEZSAUBOQSX2nqnGNT359z27AJFrZVu+9yCjHqObCoBHCcvAURn+ZTrdM7IDgkwGJEXyr7Nau1NVPlm5n4pDp8uNu77IwfZ86aD7nQWVFNXnbVe6ePspVTlspL2ZN9opJg75n9GjfCJtSqOC6XPRJTEcL0/qiben8QslsaHm5v2fIwisYJMeFomi+MiMeNWFPJ2Owdxb+mBgerT8wiLISFRWVMpM8qH45DMYfOkaK7+YFxa6xgCAz4pD/61K+ffn05UNotf0oaIa3PDhFh55zoOQQkCB4vBgYQ32K8ysFEOYxYC+hPWwLxBTHDpcLFyNcJoAACAASURBVD7eqPz+S25TSqWzI79CdZbsn0fLRN9LJFSoShSHAEf+LJo1QNVxAEB6XAgeGt2J+8PlhPvraejFSKtH4+qOAF9NRlVtHc/qVa9j0EmiEcEfq1KDjsHVPZMQZFKvWgySyBEd3yMJqx4dgbuHpyNaQLnEgq9+Mxt0MOr590yt7UpJq9IQwgb8mqxkvDettyQRe3lmAhbOHICQJpW7R8HuQRXxzJFSzP77l0Po9MyvuHHeFizfV4TDRdWYNHcTcs4Kk3g1Dgb/WX4YL/xyiPrtiGUN24mGNIo4bHqO+RKxS5LbZcSzXExxKHQcCI6hlpFDFbj5Zm+lSjdAnhDwKtovyTmNLSfKJRZuwVur8mSbIUib0hCTHrqmE19QbsW3Cq3GPegYHyppge4vbh/STvC3K4Ss1AiM6RovvyBA1wSU2F1SVqWXMnEolXGokjQDgL63q1u+6zVAqMh36QvpKwcpxWF9hf/EYaKyhhC/15EDRbo23ecpxeF5sCqtUd6UBQDY8UnL/zNMIOdQQ/jUxqnUjuHw4cOora2FzaYBwx9A62LnfGDJdPFA1nMHgQXXcFaYAfx1UFMIfDwKWDwNKDmgbt26YuDUltY5rr873C5uAOGNkKaJBkn82LW3khPE+bQqJYlDD2ma9xttPyoFcoCiueJQyKr0AhKHZHdpQHF48cJvxaGPxKGUbYwAvG0ASdWaB4KKQ4FuZF9AdXIrRHb7aFzWhe6Oz6/T46HG2RhifxevOaZiqXM4ljqH4zXHVAy1v4Nv0v4JWMJxVsL+kCzSltTYsHjHaTgIpZ8ZXHHAwvDvrWuO1giOk7eeKJfcrxCW5JxGdvtoXpaUkFLPipZr66qeSVi26wzGvbWeUhzOGpYum0slhsu6xGP6QK5L22zQU0onNarD8jq7YFaj0vvvrweKse2kNGnogcei0APvoqUc8UhC6mpN91Fx2EwcEnavURJFsDZR/H15q2TP1fKv3zCLAQ6X+JGfKrfC7lTfCBBuMWLhzAF4c0oWslLVFUc467tURcte1TPJLwtGtfjGNRKH3crUC2tdWVjv7glAOXFIKpqTI/1VHKpbv7rB0axmpiCkEFCgODxc5L/l/g19U0UzUt1uFvWNTsGcOhJSBXEyT1Ypam1OSTtmMdtTKUgRTaQKVUgFLwZS+RoTYqIyz7yRlRqBr+8c2Jwrh9yfoTutsFG4aC8ad31F7U/K+pMkutQ8j67qmYT4cAv6qSSYg016dJFpQEiLDsacK7si55kx2Puvy9FNQC3pQeeEUOpzkESLvyCbs4TI0muykrF5zmV47ppM9GsbhbYxwchICMON/dPw8/1DMe/WfjyilmxGIYlC8hlEws0CW09U4L6vdmHiB5tRWe8QtE4H0NwY9PmmfCzfz5/3HRJpGCNtxO0uYeJQrUIeADKI64y0Ko1tGs8Y9DqKmKSejxlXqtp3DRuM7e4uAOhcZkkotCplWRZfblFuGcqywKJt0stT+YZe45avt59WbUSm1s5eLeLDLPj8tv6CDVfe6JwQio9n9INBqZOBT1alBHF4KVuVGiTmtb4oDpN6ApnXKty3BRj2mMT7rWFVKqU41IA47HubuuXbDQNitLX+BUDXEhw2rg5Bfv5WURwS54z8Pckhn7CSpnIO1c37AmiB5Exs7ty5+Oijj3ivMQyD8vJyZGVlSW7Y5XLB5XKBYRikp6f7f6QBtB6K9wO/PCK/nKsRWHo78ODuFgVRABcO9RXA/KuBCnnbHVHU+hBCHIA8GirBKzHqDC3S+7+FVSnRSe2xKj3tZ4BzuNaKw7+4VanL3tLl5UEg4/DigBBJKDXBIiFkWysEyqpUXd6A3qtrXoggBIQJxXqHCyzL+m05lBIZhFMV6lXP+85UCe7fU8AuQTTmuujJ5+mmfZ2tFN8nSRwu2XEaLjeLRuI78SgOgwjFYUGtG7tOVaJvW36Xo5gSRgoF5VYwDIO3pvbC5A+3oM7uFCzUWZu+o5SoIKw+XIJvdwp3g9/2+Xa8en1PfLGlQDHxpmOAqf3T8NyEbrxiS0pkEEprW54rhVUN6KpQHVZhbUSMgOWq0gLLQhVFMhIHC1sm9lopZw06BimRyn57NHHITYrJIi6pDvEGqfgsrrHB5Wah1zEUcSBnobnpeDnu/2o3Prylr6KsL28Y9DpM6pOKSX1S8fGG43jx11xF612blaxYfRBiNuCOoe3xzuqjqo7NV9hgxozGp7DA9Aq66sTzZsriB+P+UzPhST9TqgorIqxKE8P9zDgMU58JlFtciy0nyjG4AzGX81Fx6GsDiAcpkUG4b1RH3mtuN4u1R87hy60F+PNoGZxuFia9DsM7x+KWgW0xonOc4PNHzKrUX+SXWxEjknHqi8Wq1DqkClUpKQ0Ae07zbbhGZMTh/67KxLc7z+C9NUd5NsbTB7bFcxOIjL8dnyreFwCE7l8A4Jnmv8mGEmp5gnC7skciqhscsuRou5hg/PPqTADAzQPbYqnIM04I1/VOUWyRqtMxiAgyYkD7aJ463RunKhooS8tWVxyKZEOGW4y4bUh73DakveD73oggFYdEUw2pepeCrUmF1yj0HAd4jgKfbDyJq72cE8QaDWwOZValN2a3wTKZXGJvDEyPpqzEScVhrFejjtmg59nxU4rDrBuBVc8DDmVjuqWuEbDBDJNeJ0lIU5AbDzURh6cq6gUzPKXw+8ESPHNVpuj7ZDOENwG997R6qz+SqG0NZKVF4ucHhmLGZ9txvJT+bmaPSMe9ozpSrg+S8EVxSDZ6XqKKw6LqBry//DjEfKTW5tsw2OmC2aBSIX7d/7gaJ0kAecNgAW74XFptR6nmNLgGpYhjLaxKk3sBHccoF+oME4/d8AtkLcHZADgEmkOlrGp9BWlVqhZkXZUiDgOKQ18h2W4xc+ZMxMTEwG63N/9jWRYsy/JeE/rndHJB0SaTCQ899ND5+jwB+IKtHwKsQosVew1nYRrAhcf61/wjDQHfQogDkAdJnAXHcC32AK0Y8yErwSeIDXZIVZ8WEMs4FBp0qIHWikMhi4W/EnFIDkCB1rGFCEB7+Ks4ZIjhmRhxSBLLKu/p3jaAaqxKWZbOo/FGXkktXlx+CLMW5GDWghy8vOIwjp2jmxQm9klRdbweVNY7BAlH0gKLVG541pFS/pXU2HjKFo8FH2mtaRKxKm1gzdh/hv7tMlBPsnrW6ZoUjsV3DUSb6GDYWfoeVc9a0DUxFJXWRkm7sTq7C498sxePX94Z39w1ENf2SkbH+FC0jQlGdrsoTB/YFlf2SMSA9tEY1ikWD17WERv/cRlentSTmvyTRJkaNWW5WMahggJLQ6NLtVLQG7nFtc1ER4xCays5WIx6xYW7cBGr0grSqlTi2GJCTM1FVIAjbjyFOVJxqAQrD5XgOxWFeCHMGpberEiVQp82kXhxojprpQdHd8KELPnGoUm9UzBnfBfEhvr3vZ5DFK5r/Df+6ZiBPDdxj0rtD0ych1NXfslT+p6rVVaUIgkSfzIOWZbFAR8tQpftIgrvp3cAx9fQC274r2y+TEqU7+RnTIgJX905ALFepJzV7sQdC3Zg5oIcrDtS2myF2ehyY9Xhc7jt8x2YvXAXpVCqsTlQ3krKlpNl4mPl7PRoSStMIYyUsI0mMw4rrI3UZxXD3jP8on7vtEhEhZhw5/B0TOrDV/lGk+pAlxMo2KRoPx6EVhxEGFrOTawIueoBaVWq1+nw7ezBkhaOg9JjsOSeQc3Eba+0SFyeKZzHRyLMYsA9w9UpMraeKMeibeL5y9UNDl7TDEBnEvoLOuPQf/KBVGORVqVkzq4SCFmnA/zx0p7TVc3Zqi43i1yRjEObU5lVaf92UapUp3ePoL9/McUhAJiN/PE3Nda1RADjX1W073x3At5zXgeAs+tURaIotCr15Z4npwAkrz9v4t0XhwK1Vs6+IjUqGJEiTVfTstsqJw1ZFshdDuxbwn9913xgw+vS5MPfwKq0sKoB18/djM2nxJ+Lf55uxJ1f7ITDpfK7N4UAtywDLv8PEEmMKXUGoNskYNYqoIuM8vd8Kw7ry7k6uTd8IcGu/wRI7Cm/3PjXgA6Xqd++EggpDsl6ocHC5SFqDdKqVC1Ia9KggFWpVpC8k5nNZsydOxeHDx9ufm3OnDkICwvD008/LblhnU6HiIgIdOvWDXFx/mWqBNCKcDQAB75Vt87uha3X4RCAMjRagT2L/NwIAyT31uRwAiAgZtUJ/D2tSj0KZTEfeqXQPONQiDi8gJYi5OSCDHA2hQI6nxzGAzjf0DrjkBWzKiWK1Wr2AWBadhv8fpBTnjeosCoFOALHQhRLy+rseGzJXqzP498DVh0GPlp/AqO7xOO/k7MQHWLC2aoG5JdZYdLrePlBSrHndBXaxvB/w4eITvZx3RIxf3N+89+nK+vR6HRTRX6GQbP1ktPNosxqR3yTBaBn0ksSXUamiTgkrEptMApaQ3aIU0/6e6/TPSUCax4bgeM/bgb28ZezwgI3q0xB1+hy4/9+PIgVDw3DgHT1WT0ekGSBGuKwwtqIZB+tSv1VdtQ3upBfbkWHuFCM65aItUdUZENLHNO1H2zCK5N6YHI/aZtLSnFob1IcklalEpZbDMMgMcLCI88LqxqQEG6RVRiKYf7mfEzul+qziphhGLxwbTd0TgzDh+uOU9dDmNmAG7PT8OjYDNUZZXodg7en9kKvtEh8+udJattp0UG4s4m4ZBgGtw9pj1WHS7D5eBm+23mWpx5RCjtM+MI1Dl+4LseUDDNeu6Y917ncZDufQBxDcbVNVoVdZ3dSSg5fMw5tDhce+WYPVhwo9ml9nrXwxjeA1S8IL7jzc2DfN8DkBUDnywUXGZQeg4Rws0/XHte40HKfc7tZzF60CxvypH+Xvx0sxkOLOaWs55wXSJB7AKDXAT48arhtSyjGwy1GXNc7BV9vFyebvGEx6jC5r/h9IsRsQLjFwFMHltTYqOcdCbebpdRAWWktRThSDVhKqoAc9cobib2PFw2oRbDgPqhlCeKwzu5ESmQQls0ejEeX7MX3hJLso1v6Ylx3umnwram9MGtBjmSuW7jFgE9v6482McpVEZXWRtyzcKdkY5QQ6uzqSTcpkPcsKbtZpSBV7KTCUI3i0APBBiCB10+WWdEpIQz55VZKWeiBXU5x2EQcMgyDuTf3wdR5W3FSJqvvqfFdMCqDP/d0u1mKOPNuIjLpZYhDAOgznXOFWfEP0ca+w+40zGx8AlXg5v2Himrw+u9H8NjlnZU9Z+UIp6ZGUjL/UgnkrifyevYmDhPC1T+z/NOkq9gPyzaT1CRKam3K7gUuB/D9PcL10cY6YM2/gZzPOHIrvgu9zN/AqvSRb/agsNqGJJH5IQDUIBgb8krxwdpjeHhMZ3U7MJiAwQ8AA+8DCndz8UoGM5CYBYQq5BVItwQlalE5SKkWq04Rz09G2MVBDkFRwO2/AuteAXZ/STeRp/QDRvxDdDymCYQyDsl6ocp6g2KYQgFGL173kEPGeP7fpOKQjJIKQDFknzRdunRBly4tN8U5c+bAbDZj4sSJrXpgAZwn1Bap78CoOAG43YEC9oXEyY10V4tadB4HRCrLcQlAJepJq06v4ixFHJ4vq1Ix4lDj/Tsb6UGOR3GYeS2wVszUQgY6o0+B9JL4q2Uckp1bZFdUIN/w4oHWxKGoVSmpOFQ3oR/eKQ49UyOw70y1OEEoQijWO1zwHo6X19kx+cMtkoWc1bnncMOHm9E9OQK/7CuEGoe79LgQnPCyH9p9qgrX9uKrgUgLrMszE3jEYVW9A3kltbx8llCzARFBRh4ZUVxtayYOk5qUdWQhzNSUcWgGSRyaBMmA/u04uyy5Qpc3pvTnP6MNeh0yUuJo4pC14EiJ8nt5bnEtduRXIrt9tPzCIkgmPqOajMMKayOl4ASgqMASZjHwiF5fcLCwBh3iQjGhVzJeXpFL5SD6ApebxT++24e4MDNGZog3yYSKZRySikMJq1KAU6p5E4dF1Tb0hm+KQ4Arap4o4whVX8EwDKYPbIubsttg49FSHCmuhdPNIjUqCGMzE/xSzeh0DO4Y2h4zBrfDluPlONlE5HSIDcHA9BjovJRTJoMOV/ZIwpU9knD38A54/udDWJ1b4uM1w4AJSwBi+VaacYSyqsHhQq3dSSlKvVFM2JRGh5io5gslYFkWjy/d6zNpCAAGj011zmfipKEHjnrgm1uA21cAqX0FtqXDjMHt8NpvR1QfR05BJarqG5tVIisOFMuShh78frAE6/JKm4kBOTvoHimRlJWnUsjdtx8Z0wlrcksUkadzxndtyRQUQVJEEGpsLQXwomp54jC/3MojG00GHbokthQuyWuWVM3BFMqNgZXkeHmhGi3HJUccko0Tniw1hmFgMdJ1hXSRhpsQswEfTe+LPv9e2axIbX7PpMfEPim4e3gHpEWrs1JbknPaJ+VdneaKQ/6YTwvFIWmP6/05WZb1UXEoknFIWJh6iDLSFcIbNiffAp9sKPO2h40Pt+C72YPxyorD+GFPIUUyBpv0+O8NWbiqZxK1n6oGB89eWa9jeM9bWnEo8t32nwV0HAvs/Bzs/m/hrC6CnTVgvzsdi1yj8bu7PzXOeX/tMeh0DB4dq4BIkbUq5cam6XEhiA01UfarUpAb+5HXszfhf3XPZNXPHoNKG3RfUVpr590DvaHUThy/Pi4vqqg5C3x5HXD3BropmpyvyWVVXmQ4cLa6OepAbN4IALUsd+9duLUAs0d2UG9ZCnC1ZoExhyKcb8VhxUn+3+Zw32vl5jBg3IvAqGc429LaYo5MTe7D5UC2Nsh6hdNOKw5bywGLYThVt69ZhP1m8v8ODliVagXVV3Nubi7+/PPP1jiWAC4W+JlpFIAGIBVdaqEzAsOf0OZYAqBBWZVKKA5ddm26oOTgEss41FhxSJKmhqAWZV9cBtB+hG/bDUvUvllBiIi7oMQhMbmwEQWuQL7hxQOhrEG/iEMxxSGZcWiBw+XG8n1FuO3z7Rj1+jqMen0dZi3IwcpDJVQWlU7HYN70fmgXEwybGHHIcnZm4UTBr6FJ3bbvTBWe/HYvhr66VhEpdqLUip/2KicNTQYd7h3ZAfeO5BfudxMF4LI6O69oyzBAz7RIJITzJ49bCYVCcqSFsgv0thO8tskikSyEtViV8ottOmMQLutCE0c6HYM7hynP/B7aMRbdkgXyMQz092SF+g7wVYf9yzhOITLqCtVYldbZfbYqtRj1GNxBXRNJHGFd+fSy/Xjkmz04XFSD/1zXXdW2pOBmgVdW5IKVYKhIq6w6D3FIKCCiZWxUkwmrWM81e85HxaG/63pDr2MwMiMed4/ogPtGdcS1vVI0KXx7tj20UyymD2yL6QPbYnDHWB5pSCItOhifzOiHDU+MwrNXdUVWqnzmjJnILwsPoo/dZNBRlqglMoVJ0qaUtKRUiu0nK/DLviKf1vUgMykcaKwHVj2nbAWXHVj1L9G37xyWjuGd5ZUAYWY9L5fR5Wbx7uqj2HWqEk6XG19uzVd2PE340ivvVEoVCHDNG0pzPMnsSDlSMj7cgq/uHCijFAb+cUUXzBjcTnb/CcQzSUnRmyRFuyWH88iW2DD+9Urljul0QCd1Koa84L5o8Hr+kOQkiRBC6VTnVeSvtNLElZQbwZ7TVTzSMMxiwNJ7BmH7M2Pwn+t6qCYNAeCbHeK5plIgiT5/QboHkOfNF5D217U2J5xN57e+0eWT84OY4pAkzDwEsFi+IcA1A3kfA0kGmgklYHSICa/dkIVtc0ZjNmFHGh1iEiQNAW78QS7Lazwh9iNpsxnVFhjzHD7r/zM62b5Ad/tnmOZ4Fr+4Bwk3RwF4b81R5CtpIJMcDzHNcwqjXoep/dU1gt8iYytOXs/eisPLuyWotthWq+D1FUcFIhE8UJQVe+4wsHO+sp3VFgGb3qFfd5HE4aVlVeqdoS7WWAoAtU1W7mV1jVivgbOHarRGxqHUNkhLd7X5hkIwBQOZE4ABdwF9bzs/pCFAnztHAzdeJI+ttUDalSYojDcY/ACQQGS3UhmHAcWhrwhIxv7uCE9R3zEQ0ymgNrzQELJYVAqdEZj0EZDaT7vjYVmgYDOw5QNg45vA3sXC+Wx/F9QT1jkhXsUUg4WT4HtDa9WfEEStSjXOOBTKN/RuNrjqTfohLgSS1NM63xAQHgBeyAGFEqvSAC4OkPkAgDCZKAbyGatQcXiq1o3Rb6zHfV/twrojpThZZsXJMitWHS7BnV/kYNzbG3CilH+/SYywYNm9QzAmMwkNAvl5qfExWDhzAEVkVNU34uHFuzHh/U1YknPGJztAKUQEGfH0lV2wbc5oPHlFF/QhMpAOF9bwOsHJglTb6GCEmg1oQxQPtxzn359TIoMohaB3gSG7fTS6JoWjkeisNzYRh0Hg30eGZbah7Ng8mJadhmnZbQTf80Z6bAjevrGX8JsCqtJ6H4hDkqhSi+RIQnGokDhsdLpRY3OikfVNcQhAUZaeN8hO/Dq7E9/vPovr/7cFP+8txKvX9xBUu/iC3OJa7CwQ72glFTc1zYpDftE8UkaRRF6zRU3n31fFIcBXdFxqSIsOxqxh6fjhviF4fkI30XzLXmkRGE9YI4qpCD2qZA/k1GYkcUj+hpTiy60F8gvJYGr/NODAd+rG6vkbgVJhVaFRr8O86X0xLbuNaH9pZlI4vrt3CEX8f7YpH5PmbsbQV9dg6wl1Y7ANeaXN5Ed+OX88Sx5HqNmAVyb1gBx3GBtqxms38At0+WX1kg0BANAhLhS9BLL6wi0GTB/YFr8/PByzRyrL20sKF29mEQNlU5rKP5a4UP42KcUhAGTfqej4PFgRdBXv71gfrEo9ELLKFLL99oBUpo7KiEf/dtGiz185uNwsTqhwBPCG9sQhf3tq7Z2FEGLSw6jnX/xVTWp7X2xKAYCFDnaBZ7kDLcfbv11Us5KdtJMn4W1jKmZVSiIqxIS7hvObss5WNVDn0APSopd8FpDKKDnSy+1msVDFPZllga+U2BpLEU7GYN4N7vYh7akmOTFc1iUeA2QVh+LEoVGvw1tTe1EEqxTE7GnV4ti5Wjz/80FMmrsJV727EXfM34Flu840Z8CK2ZQCConDHZ+qO6DdC2nnF8qq9NIiDk97OV2IKY6BFsUhAMFM+lbH+VYcVhM54VoQhxcKlOJQIOPQ2IrEIXnuRvxDXngw6H5gjIB7RiDjUDP4fCdbtWoVNm7ciPLycjgcDrjd4g8EhmEwb948X3cVQGvCYAZ6TlbeXQNwvu4BXFikDQAYnfosisSewDVvAyk+yv6FcOA7YN2rQBlRTDAGA1nTgNH/9D/o9mIDqTgM8VIcMgynHPMu1thr6TBfNSg7yv2Gz+zgHu6hiUD3SUDmdS0EhqhVqcaKQ6nPDnB2X7f9CiyeRndneRDZFsiaCqx/reW1MOHOUZ9grwV+fZIjuEl8NRXofj1w1Rvn/7olJ4mU4pBQqwbw10RtMXD4Z/r1Qz8A8V2V/dYVKw75BZB/Lj+OU7aOwssCOHauDlM+2orv7x3M68aPDjFhbGYC6o+bEURYbz5xdS+gQwyCCMXQKytykSNBkPiL6gYH+reLbu6Sbx8bgoggY7OtZKPLjUOFNUiPDcW3u85gMVGIyUjkfi9pUcHYkd9ynNtP8gvTKVFBsBCFIu8iLcNw+Wo/fLiUt0yz4pDIOLx5WIboZ2IYBi9N7I4OcSF4448jaCCKKUY9g6t7JuP/rs4UV5yRRQoALlY94eNrcdWD1Ej+pPFcrR2NTrcs+eQpUJJELADFiu/LMxMxMiMO6xR2MUuV+/84VIL6RhdWPTIcw15bx1t2aMdY6HXA+rwy0fWFsO1kBfq1E/6dUxmHNuHCraziUEQl62vGocWoQ+eES785hWEYzBjcDjdmp+H3gyV47qeDvLyrh0Z3xo97+Dlr4UHCxbHECAuvEC5XmCyqIhSHPuYbbjyq7nokcVWPJKTHhQIbNqhf+eQGzj1CABajHi9P4jrDvfP+MpPD8dw13dC/XRS2nqjAbweFbe6Kfbh2nW4W9Q4XwvU6SsXTKT4UeV4WztUNDjw0phPiwy349y8Hcewcf3m9jsG4bgl4+squiA+zQMegWRlfZ3ei3NqIWAlFnc3hwtbj/OfLwpkDMKRjjOrsUKlmFjHsOcMngXulEcQhmXFYa6dzOduPwPawMciuXSW7P1en8fjtXF8ALedRTnEYSjx3rF7kjpBltENCBUf+DoZ1ihVZUhnkiGEp+Ju9S8JKKg79fF4D3L0vIsjEU5pW1TsQG2r2yabUg0YYYYaTeK3leD1OC1X1jdh/RrpRgWsG4+63UlalJKJCTIgJMaG86V7Ospy7RfcUunhfTjQSkb8Lcj9yxOGJsjpVFvQAsPJQCZ6+sqv0QlKNVERhPzbUjC/uGIBbP9smOQYYlB6Dd6f1lr0fkdczef0NTI/B/Dv646HFe4QbEAjY/WwsbGh04R/f7cNPewt5rx8srMGa3HN46dfDeHNKLxnFoYLny0mVz0RbFVB8AEjr3/LaJW5Vyr92GDSwJgQxdI3Jk3sLALoL4VZHEodizltqIKlaJJ4fFzNxKKQ4JIlDf0QscrAQ9TfWCUz/AdjwX2DdSy2v6wxAr5s522gxNWYg41AzqB6FNDY2Yvbs2di8eTMAZYMstYPlAM4zBswGdi+iO2SEEBTF/UAD4INlgYJNQNFeLlQ5PAXIuKL1Cv0RKUDn8cCR5erW6zpBW9Jw4xvi2SiOeiDnU06JeNsvNIF0KYO06ySz+czhfOLQV8WhowH4+WFgH0mA7QWO/g788Sxw3YdApzESVqUaqx0p4lDAuiohE7g/B8j9Bdj5BXByHZ8Ev+Ez4OhK/jpaEYf2OmDBBKBwl8gCLJdtUHoEuH35+R34kRmHNqIzN6A4/Osjdznw3Sx6gA0A2+cB+5cCUxcB7YZIb0dpxqGTTyKVhv0I9AAAIABJREFU2+UJpLI6O57/+SA+mdGf9/qJUisGwwyA6Nht6ioMJjreW5M09OC7XWfQuw036GcYBllpkTyVwRsrjyAnv1Kwm3l9Xil+3HOWsiurJQoiKZHBVBc+aQuXkRiGGUM7AV5O/UbGY1XKnzCHBEv/ThmGwaxh6ThcVIPvdrUQFGO6xuOlST0oFVMz6iuAFU9yzToE5pnewGeu8XjHeT1cUKZMGKTS7pNEeJABISZ9c4GTZbnz1iZGugvVU7RzCB2nQksnnY7BBzf1wf1f7cJaCfKQgTRp6MGfx8rw494i3rJBRj2+nJmNh7/Zo+iYvNHQKF4kI9VrdqcbjU636ozDxAjSqrQBNofL57zG63qlUDaqlzLMBj0mZCXjj4PFPNvPE2VWKiNJyKoUAKXwKJYgd/adqcKKg3x70dgQZQoREh6y2Rd0ig/BvyY0WTnZxdUZolCQr15DHN+0/mnIbh+NgnIr7voiRzP1CQDoGCC4KSeSVBz2TI3kEYee4xrROQ7BE3tg8kdbm9+LDTXjlweG8gi71KhgnlIiv8wqSRxuOV7OU95HBhsxMD3apzoIbZ8truiusTmwLvccDpzlkzJZBHEYQ1jr2p1u1Nmd/N89w+D98IdxbZUd1+s3iu7zV1c2+l7xP5T+L4f3ulzGIZnx6p2lJqg4FCBtbA4Xdp+qxBFCXTSsk7xVrhQMeh3SooNwukK57bYHdSK5ar6inso49F9xCABRwUaCOOTOua+KQ4BTHYWBf848Np0PXNYRoRYDZi3IwerDJdTz2GzQ8Yg5uw+KQw86xIei3Ksx7Ni5OkHikLTopRWHKqxKQbsFKIGi8y1FOAnYBGYkhmH5g8Mwf1M+Pt90kkc+RwQZ8Y8rumByv1QYFSgFaatS+vob3CEWG58chRUHivDD7kKU1Nhg1OvQPSUcV/VIxi2fbmte1iaWE6kAjU43Zi7Ygc2EW4g3yuoaccf8HegQLz7+lno+N0OLZ+IlblXaOSGUF3XQABPVcArwFYedLkRTGqU41II4VKFavJhFE0KKQ1Jo0JqKQ/LcNVRxTkzhRC2w0zhgwrvS2yKbtQOKQ5+h+k62aNEibNq0CQAQHx+P7t27IywsDLqAdeXFi/guwLUfAD/cI61gMwYDUxf6p4y6FLFvKbDhNaAsj/+6KQzofTNw2bOtQyCOfAo4voYqHEui1r9MFB6OrBAnDb1Rehj4biZw64/a7bs14bQDhbu5h5QlHEjurS6bDJBX3ZEEkNqBavUZ4NBPwLaPgKp8ieMoBb6aAkxbLG5VKkRw+AMhq1Ih6I1At4ncv/lXcxZYHpTlAbX8rkJqsOAr/nhWgjT0Qsl+TpU46SNt9qsEVHcpMcUOZBz+tXFiHbDkVnGSD+AGrItuAO74DUjKEl9OqeLQwZ/EiOUUklidew6nK+p5pNqJ0jo0sGaObfFG0/0vyKhN4UoNzlbyn29JRKH+z6PihQSbw42HFu/BlH6pkvtIiQqCnpEmDgEgMZpfgDI1ZRuSGYdKLWnJ7ucJvVLESUNrOTD/SqA0V/DtUMaOBw0/oCNTiPsdD8Itk0SQFGHBaIEcRjVgGAYpUUG8wvzZqgZZ4tCj7hJWHConrkLMBnw6oz/WHjmHL7YUYNOxMjjdLAw6BsM6xcJi1GPFAWFlkxBIxWpqVBAYhpFV/gmBzJLyhtmgg1HP8Cz4am0OKt9LahuAELFgozr/vRVTUgg26XEnYfX2d0F6LL9r+mRZHWoI8jVCRHGYQNhJnhMoTOaV1OLJb/dR+XMA8OGG4wgy6XHX8HRV5FJ4kNFnhdDRc1Zkv7ganRNCMTfECHF9ughI2ycBkPdPD8k9b8MJqnHDXwzqEAODXoc6u5MiBHqkRPDymLxJ9Qri/KXHhlAqv3axITzi8GSZlVISNzrd+O1gMX4/WIycfH4n+8jOcTCosPPzBnksQs+kCmsj3lx5BMt2naUy8Qw6BpVWO9p7Xd9GvQ5RwUYe0VFaa6caBs5ZWTzmmI2vnJdhumElrg46AENjDWoRjA2u7ljoGost7kysaNQ3K7w8kCMOKavSJjKXZVlBAsZbdXa8tA6f/nkSP+ymP29qFG057gsm903Dmyvz5BckYBWxxfQV5OfTKiOWbEjxnHNfyK+20UEoqGgQzDm0mC14+YruKKy24aaPtwmszYFU89m8iHfyPTlrzI7xoTxHiWMi6jNScUg2A5iNpFWpNOkV4sN3o2gdKYtLkZih2FAzHh+XgfhwM/7548Hm14d3isVNA+Rt8j0giXBSKeyBxajHxN6pmNibP84mbWIdLhYuN6s4Y9Yb8zeflCQNPXC6WeQVi9dThJ7PFIKi6PqDHMi6KGVVemk1ZE3pl4a56443/y027/RkHKZFB2FwhwsgHqAyDlvZqpTEpa44VFsbVQPy3HkcuGqJOZ2SGCMq4zBAHPoK1U+6n376CQzDYOLEiXjhhRdgMFxaXRR/W2RN5VRRS28Vti5MGwCMf5UjUQJowdqXgfWvCL/XWAts+5BT3M34WfvOk6SewNQvuUK1UvKHvOH6g41vKl/2xDrg7E5t1Y5ao76CC7ne/SU/o9ASCfS+BRjyMBCqsJuVzDgMJgZMJAFkV6j6qzoN/D6HUzUptallXcD3dwNDHhJ+X3OrUpI4VKBqSejGJw6LDwgMDjQgDusrgD1fKV/+wLfA2OdbJ19RCHJdiQHF4V8Xbjew/HFp0tADRz2w4ingjhXiy5A5qKKKQ5I4VDZBZVng1/1FuHtES97SiTIrGoQmgE1dhVpk7KiF3qsp7b3VR/FNzhmJpYXx3S7pdVIig0CS9IKdyYSNpgkuMHDDzBBFAqF8SwEUEpmApPUkDz/dL0oaeuNK/Xbc7f4F/3NNkFzuqfFdfC5oeyM5kiYO5VBu5Yr7DqEpiEpLJ52OweiuCRjdNQEuN4v6RieCTQbodQxG/netqm2dJkjqlChuUnx5ZiI+35SveDsMw6lHxd9nEGYx8uwxK6yNlDVYlEzGYXIkf9JeUmOjrqm0qGCEWgw4WCiuEgsy6vHhLX2bM6j+bmgfxy/Anii1Uoo5sYxDkjgk7xsHC6tx47ytqBVRI9kcbry8IhdF1Tb865pMxeThiM5x+HGPyuImgbySOryuS8eHanhxRgd0Giu7GElyJUVYYG3KFdUa2e2i4XKzlE1pXJiZIte9CeEKq7w1cLuYYHgb1xUQisY1uSX4x3f7Ra36bA433G4WOh+K5UmUoph/TgurGjDt463UMXngdLO4cd42vDutN67wyuyMCzNTxGE68dv3qKF2shnY6chA5v3D0Tk+FJPe2sCzAswvs8LbeMqk1yHcIj2OpaxKmxSHDQ6XoLLL02Dx24FiPLh4t6j660xlA17//Qgeu7yzX05XN2an4aP1xymrUDl4Kye1AEkchmg0/oognisexWEVoYBLDLdIKrTiw8yYlt0Gr/x2BHbWSDWcTRvUAaedbry35piq4+NnHPLPgZzisBOhNhMjDinFIUEckgSlnOKwY3woYkNNVJayFAamK5gbS2YcShftyd+ZTeYzkJCzKpUDaf8PcKSw1HYanW6syS1BbnEt3G4WSRFB0OuBt1YdVbxfqT6p4hobbc1MIuMK4NxB8fdJhCUDCT34r7mIOcElpjhsFxuCq3okYfl+Towg1HBqZw2wN80n7xrewSfC2G/oScWhf7nuqrdxMROHgorDC2hV6nFpq/FBVBDIONQMqqsGJ0+eBMMweOqppwKk4aWGTmOEC9PGIGDmHwHSkMTBH8RJQ28U7wO+v6d1jqHTWODujUDbofR7bQYBQx/lv6aV4vDcYeDMdnXr7PpCm323BioLgI8vAza9TZN+tipgy/vAvBFAqcIuVDnFIalAbVSgOCw/DnwyhstOU5tt2VABnM0Rfu9CWJWSSOjO/7tkP1BDXKtaEIcHvlPnce92AvuW+L9fpZAlDltxkBaAfzi5HihXPrnFqc1AicTklLStZcUyDgnikFVeBfYudjpdbhSUW9EAAbVA0wRCK6ssNeiaxN0rF2zOxxs+qAAAQCIiCQBHHArZPlJW/ARxaIQTZlJtCChSHLIsi0LCei4pUmS9sqPAkV9lt+nB7YbfYIAwUcEwwHPXZOLaXimKtyeFFOKYSeJKCM2KQ1bgfudHZ7ZexxFyngIFqSpQC89nG5geTRUkpTCicxzaxkjfq8mcw9OV/Am52aCTVfhGBRt5lmpuFjhAEIRJkRYsuXsQHhzdiVJVGPUMrslKxo/3D8Hwzv5Z/F3MaB/L/25Pllkpu1fRjMNwMoeu5Z7qcLlxz8KdoqShN+Zvzsev+5U39k0f2FbxslJY5e6DIlaFi0zGlUCEtILb5WapPL6kCAvySmopMkQLvLXqKEb8dy3mE+R++5gQ6nurliIOQ+lnJ0kgfLzxBJ5Yuhf7zlThtwNFmLUgRzLf67eDxfi/Hw/4lJ1HXluldfbmvD+Xm8WdX+SIkoYeNLrceHDxbuR5WXqS9wGS7GBZllY/B5sAhqHO5/FS/vwhLswsS9qRxIHHElFM8eZwubGzoAIPfL1LlsB5f+0xVU0eQogPs+Ddab0p+3I5kNaO/oJUMGrVuEU2pHiUy+R3Pq5bAj68pQ+GdBQmuGLDzNhyglP3CbkHlDYAb/6hfszmre5Tk3EIcASeN46VKiMOY4nfvtmoLuPQZNBhav80yWVITB+k4B4uaVUqPcawEOMHm8qMQfL6E1McikGnY6j7p9gxuN0sPlp/HINfWY17Fu7C26uO4t01xzDn+/148tv9ktbvUkiJDIL37cjmcFM25BT63s41yChFv9tpZSiVcXjp1ctfvr4HuqeEAxBWHHryDW8a0Aa3qFC6agrKqjSgOFQMQcXhBbYqBXwTFZCKw8Y6bUjkvyFUE4cmkwnBwcEIDw9vjeMJ4EKithioK6FfdzQEfmAkWJbL91OKvBXA+tfobg0tENsR6HgZ/7UekzkrvO6T+K8Lfb++QKrgLbrOIW32rTUcDZx1YOVJ6eVqzgKLrqdz50i43fKKQ7VWpS4n8PWNQJ0fitGifcKva31NKrUq9UZCN/7fxQdoqxAtiMPK/POzjq+Qm1y0VmZqAP7j6B/q18n7Xfw9JRmHLMvdv7xgV6g4BPiFhTOVDXC4WK5zlIRHcXierUoZhrPEqbM78d/fj7TKPox6BvFhZsSHmekCQwNxzinFoQNBIIrGOoO0vVQTquodvM56HQMkiFm87Vkkuz1vxDNVGKnbyz9WvQ4Te6fgx/uG4LYh7VVtTwqk6o20lhVCi1WptsQhCX8LralR3HXPMAxentRDtmgJcJlm/7w6U3Y5sghHEgBRwSbZAjzDMJSiai9hhxkfZkGI2YBHx3bG5qcuw9d3DsT7N/XGpzP6Ycuc0XhvWm90Tvh7P1faEyRvUbWNIpXEFIfxhHWyN2H2x8ESVVlpn/x5QvGy/dpFY1Jv/8l/Jwx41nE73KwCkiQoChgrH09QXmeH08sf16TXITrEpGmuIYkzlQ34llCWt40JpixmvUlcsrHAO+es0enGE0v34pM/+fMCu9ONpTvPYML7m3D/V7sV2QAv2nYKKw+pn3uFBxl4z1yWBc41kZRrcs9Jqoi90eh04+MNLdcWaSVaWssvhFobXRRhE9lENpFqwhOl/EJirIxNKSCgOGx0gmVZSvHmgcPlxqu/HeFZO0vhzZV5fpN4o7sm4Is7BlBElAcpkUGYPYJv7ax1xiFJlqhVfImBtioVzjiMCjHhiu5JWDRrIA4+Pw5L7h7Ie/9QYQ3WN+VNC4079xRafbIltkllHCqwKvVGfpm1mWz3BkmWU1alKhWHAHDHkPbU81gMV/VMQlaqAlJBajwkU7Qnx+tqyTfKqlRGSSwEkoAVUj263Swe/3YvXl6Rq0qxqQRdk8IREyL+jBZEZBowco6yHcRnAgNn06+T87VLzKoU4MZEi+8ahFsHtRUmDtkgDEqPxovXdfdLAe4XKKtSLTIOyW1IfLaLmTgUUhwS9QahnFXNIGpVSooKFDiCGYNo9WlAdegTVBOHGRkZsFqtKC7W0PIwgL8GxIgFgFMsBdCCoj2cklAN1r4IvNGFs/j0oftUEnXn+H9HN01oQokbam0xR2z5C7WKN0CZhd+FwP6ldD6lGKpOcVamUrBV8dVBjI7udiEJIDmr0rwVyo9RDGLkpNuhbWMARRwq8LWP78rv8GuooMlXLTIOfRm8quk89BekyoxEwKr0rwtfBqFS6yghDl0OkMY8doUZhwDQp21LR9+JMu4e9FeyKr02Kxlp0cH4YfdZyjZJKyRFBEGnY2DU6xBHFI+KaohJEtG9amScdL6hwg5MUm0YH2YRtw4tU6FkbUJ7hptcdUkMxcpHhmP3P8firam90DNVW8v01ChCcVgtT5R4ikOCGYcqrUql0L+9ujxuA2GllOL12fq1i8bnt/UXzboDOKvZr2YNpGz/hEAqDr1z1AD5fEMPSDvDvWf4xGGCF7FlMugwqEMMru6ZjNFdE6hi6d8VEcFGHmkEgCIpFGcc1tpha3Thp72FeOb7/aqOY/epKlFrPSG8cn1PXNsrWdU+hLDa3RcPOe6TtrkOS+JyymM6iC/TBNJSMzHCAoZhKJJVCSIlfm9y2FVQiSLifsRXHPILgB6rUpZl8eS3e7F0J5+IJOFUwho2Yf7mfMXLeiDUGOCxgP1qW4Gqbf20txC1Tfa7corDijqSNDfA2PRsklUcKrinkJabbpazKRXL7DxdUc/LrZNDnd2JH/b4b4k7qEMMVj4yHF/dOQCzhrbHDX1Tcdvgdvjk1n7Y8OQoDO/Mt6PWeoxCkp9aOT5QVqUNnoxDgjj0IhhDzAZ0jA9DiFn4GISe5QWVvmWwelRpTpebIublmncSwy08YtrpZlFQTsdx0IpDMuOQVBzKk24xoWZ8OTNb2nIewOgu8XhjcpYyMkVqTihTtCcVhw0qFYf+WpUKHYOQ4vCzTSexbJf2FtYA0CkhFIkRKolDABj+BDD8SellknsD038QbuilrEovPeIQ4JpAXri2O9wCLiu1CEa5tfHCkYbA+VEcSjXHX8zEIXnuHA200EAkZ1UTiFmVUsShgjEww9A5pAHi0CeorojefPPNYFkW77zzTmscTwAXEkV7xd+rDxCHPPiqnrNXA6ufB5Y/qi15SBKHoU0TmuAYfgGadQH1hJWkL4j0wXbAl3XOB3I+U7f8jk+lvzvSqjMoGtARt1rKqlSmWKSFzasUAaalXakvVqXGICCmk/j7plBt1HZxXXxYJ8P//SqF3OSCzMYM4K8DX65Ps4RzA1kwcAtM+p00SaNUcZgSGYQRXoUvj3KgXsiqtKlr09/CVVSwEU+P74I7h8kr3vq1jcJLk7jckE3H/H9miU1dva02E4mCD1kAJ7uGTXDCwhBNF2SHqwiKqvjbTo5Utp5a5BbX4ed9RZqpFUj4pjjkinbCikPtjvOWAersHMnrm7RhHdIxFhueHIV/XZOJzKRwhJkNCLcY0KdNJF67oSdWPzYSmcnK3FjCCAXbaZI4lMk39IAkFkjlYnxY61xXlxrax4oXQIx6Bhaj8PgpOtjEszR0uVmMe2c9Hvx6d3NBXg1OVSjPnDYZdHh7ai98cUc2xmYmNBPfDAP0bxeFtjHKu8F/dg/GSNubON3jfiAiDQDD5ewm9ACufB24fweQlKVoWyRZ57mvpseGoEuiuudkDyWqHBEcL7Ni9sKdvNfq7E44mxRIFQRR5SEONxwtww9+5keS2Hy8nMp9VALymeTZhlK1oQd2pxvHm57xtOKQT6JUEASSd/4bqbw9XkrmSso3PBj0Our3VGdzUsSVB942q0qx7YQ2NQuGYTC4QyyevToTr0/OwnMTumFMZkKTLTatnNQSpK1vsKl1FIdVzYpD/u8h0usZVGNz4KaPtzbnUZKws/TzqsbhG2FgayLphBSmcopDhmHQQUHOIak2jiWuWzORz2dXqJbuGB+GXx8ahqn9aNvSvm2j8M6NvTDv1n4UoSYKqTmhnOLQpC1xGOYTcShtVepwufHxRuVKe7XoFB+KhDDhe6gkGAa47Blg9magy9X894zBwA2fAzNXAmEJwutTisNLz6rUA5ZlUeOkr9NaNhh5JXWK4gtaDST55dIi45BQHEop3i5q4lBIcUhalcrHcvgM8tw1VHHua2S9W4niEKAFHAFBlE9QfSe74oorcNttt2HBggWwWq2YNGkS0tPTERwcLNlVEBOjIAQ4gAuLoj3i75Hqn787xPKmlCLnMyBtIJA1VZvjoYjDpsGMTsepDmu8Omdri1uIRV+Rmg1EtZe39/RGr5v822drwOUACnerW6fiONepQnaveEASs0KKO8qqVKYIUJqr/PjEEBIjTho3WsU/j1r4YlUKcHalZSJ2hFrYlAJA5nXAiqeUZUoC3MCpxw3a7FsJZDMOA8ThXxbpI4Ht89SvIwYlxKGDPwF26syQtE3xwiNjO/PC6o+X1iEU9UgD8SzRGbjfZXxXqnAVYtLDqsL+6KWJPTC+RxJYlkWnhDC8syoPZwkCLdxiwE0D2uLhMZ2aiytadPJHh5hQbqUnjd6qssRwC/ahuvnvEoo4JK1KnbCA2KZRGVGjON8QAGI6KtqmN06yLffMd1cfxbhuCeiWrP0kliTXzlZx2ZBS8wGPDaRDMONQuWJWDgPTozGic1yznZoUYkJMVK5dWhT9nUQEGXH7kPa43U+7V7LoTFmVKlUcyhDOvqi8/o5IjwtBToFwB3K4xSh6Pet0DOLDLDjrVRwrKPe9UKa2O59hGAzvHIfhnePgdLlhtbsQZNLDZNDhsjfWqdpWMWJwoPP9SLv+Re55w+h8cmkgGy485DbDMJgxuB3mLFOmxDQbdM1knq+wO2nyodbmRFSIiVIceiztvtyS79c+xVBY3UARgXKgm1m4a0uN2tEDj2UjqQosJdRXlVZSedZSFA4P4t+3yGezEsUhwClVbI6W/dTZnaIZhw2N6h1utM4bFIJYVqMWaHS6qe9YK8Uh2ZTiyTYkrWK9f3vvrDqK3GLxeZNQE5Cd9e14PSQdaQ+qYyDuyuCFjnGhPMtukji02p0UiUbeZ0hlI2ndK4XIYBNGZMThm5zTza/1axeFb+8ZrHgbzdDQqlQp+ekBSRL7pDg0kIpD/jFsyCvl5QJrjU7xYUiI4D/Xz0lk0lJI6AYMexTI/aXltfBkOgaIxF8o49DtZqHTtZ7qr8LaiAaBxgFPxuH6vFJMy75EMg5Zlt5GWJK4Ax2pmruYQM5lHQ20aEImZ9UvkBmHtmrAeg48lyW9mSYERbcXUBxqAdWKw3HjxmHt2rVgGAYrV67E7NmzMW7cOAwbNgxDhw4V/Dds2LDWOPYAtIaU9WaAmecjQl0ItiC2vKed6pDMLgzxIgbJjigyWNYX6HTCvu5iiOkIdBzj/361hq+DCNLn2xuk4o7MNwTUW5VqcZ3EdBZ/z6FRzmGjlVZBCX1+ISR2F39PaUeRHMyhQPYs5cv3naF8UKIFAhmHFy86jQPCU5Uvn9gTSO0Ht5tFaa0dJTU2fhaLjFVpcbUNB0/x7/t6UxDuHs7P3RHCY2M744a+/GONP/UrtpgfQLaesER2O4G5A4FldyFExz+GoZ1iFWe6AC2d5AzDYEq/NPzv5r6892NDzdj29Bg8Nb4LryNbyh5SKQamCzeveRNf5GehFYf8SagJDpo4FLDsEUIhqTiUOo+9b1G0TQ/OsZFY7+argxZuVWdtpxTxYWYeAW13ugUJWm+UW8+PVSnDMHj/pt7IbifdFBMbasYbU7KoXLbWtPIklTuUValixaH09RZQHCpD+1jxphzSnpFEgobkbEcFNrdiMOh1iAg2Nhe9xXIZpdD8WXV636zdQSs6vMmvyX1TMSpDWTPZv6/tTlkKaoGaJstO0pIzKsQIu9OFtUfkGw18gZF0HlEAMatSNc9dcltkDiF5jsl8T29SRe6aItWMYqBJNxeqRRSHpG2kEihtvPAHpG1nrYYZh/WEelGvY2BWkLGrBBFBhOJQxqq0vtGJJV4kmBCELPLtQo1BCuAZJ9pdfOJKScYwQOccksQhqTYMtxgohSF5ru0KMg69Qap4k2We06KQGg/JWpXyP4MaxaHbzVIKWi2sSu3EMew61brF+w7xIb4pDr1BfgdKYncuoFUpy7JYn1eKWQty0O2fvyH96V/R87nf8eg3e1rlfBfX2NDACmccAsCCzflYmnNamUWs1tA641AgHkQyRueSUxySVqWtmXFIEodVQA1hUxqepHycShKRASdFn6B6FFJQUICCggK43W6wLKv4XwB/cdRXcPltUu8H0IJ2w4DwFP+2UbwfKDmgzfGIWZUCtFqL9If2Ff1nAV2vkV/OHAFMXiCf39ZakLr/mELVe3Qzes4CVgxKFIek5aScVWhUO0WHJopOlwMWCQs1raxKSbWhJQIwKJzAJ/QQfy/c/xyfZox6hiN55JA+Ehj7gnb7VYJAxuHFC70BGPcfZcvqDKgY+i+89vsRZL+0Cv1fXIUBL61Gz+f+wFPf7cPhohpB4pBlWfx2oBg3ztuCgS+vxoMLt/IWcektmHNlV9HCrEHHYP7t/fHAaMIWeP+3eKTqZYQxEg0R+77B5Qcegx4tE3+DXodfHhiK2we3oxZvEx2EzCT+PYe03iILGXFhZsEcxcu6+KeQT40KwthMYUuhmNCW+1OCSJG2GUT3t1HIqlSh4pC085MkgGI7AZ3HK9ouAHzuvAIOQgHw896iVhmLG/Q6JBI5b3LWRBXNxKGQ4lDbAkuYxYiFswbg+Qnd0CGOfta3jQnG8geH8nKRAM46tjW7tEnFIVmYjA5WmnEofb1pSWpdypCyKpUnDrUhZ4d0jEFatHaFmOGdFbo9NCHMbEDvNv53yFOKQ6/zY9Dr8L9b+mJib/H5k9mgw39v6Ikp/dMoQl0LVDc4wLIs1eAQE2JGTYMTLh/UfHKwGHUOBsvFAAAgAElEQVRoL3D/kUMi8Vwoaiq+XtdL3fyzf7sopEZx1xalOCStSiWIQ9JimYRS4pC830opDtvGBFP5s3IQe95rCfIz2J3uZhtcf0E6OQQb9ZplhUWFEBmHTYRhlVXYqnRDXpksKSr0LK+yyzREicAmojiUsyn1gCIOiRxOUmEr1CBE7os8FjmQZLzS3wUFqTmhSsVhgwp3kHqHiyqdkNe7ElBWpU2k8InSOtz9ZQ7mrjuueptKERVshI5hfMs49AY5JnUpIA4JcrHexWDRtgJc+8EmZD3/B7Ke/wOT5m7C4u2nqCYBf1Bnd+KO+Tsw47PtWHW4pPk+UmNzYtnus5g0dzPmLNuv2X0K4OZJDQIRFx7FYW5xLZ74dh+GvLIG9y3aJZg52mqgFId+EodCYoPQS9SqVEhxSBKHMs0LfoEkDhuqgFrCQl6NG1kg41ATqH4KfPGFBllbAfz1IKU2BAKKQxJ6A5B9F7DqX/5tp+IEkChBmCiBw8ZlJ3qDRxwSDzVSnQi0kGtqJiY6PefzvvJfwLb/AazAQCSxJzDxIyAhU/l2tUBlAbDzc2D/t0DNWa7bK7kX0Pd2oNvElgciwwBdrgL2L1G+7Yzx0sVhK2HrK2hVSioOZawze90M5G9UdnwkUvoC138CLH9MfJlGjQZyvuQbepDQTfw9rRSHADcJuHERsP5VzlrSRvx2zOFAv9s5gpEcdLY2ZBWHAeLwL41uE7nB6PLHhO+HAKA34/DgNzB5qQt1dv6kucHhwuIdp7Ek5zQW96hCttd7rNuJOcv2Y/GOls5vUu1WWOfG0cMllJrNA6ebRc9UuuuO/elBRQanyaV/4kZ9ZyxycerxhkYXYkLNuHlgW3y+Ob95uahgI9Y9Pgpzlu3HoaIWG+Z6wvqo3kFm+AgXSa7skYT/LD9MFTSVIC7MjJlD2+O5n4SbdF5afhhOF4vbh7SjFYdkgYG4HxgZF/UduPUWRR15qjMOr/0A+Hy8uJ1zE1a4+uMj19XU63VN9lxa5SR5IyUyiGfVeLaygb7OmuB0uVHVVCA+H8QhwCkVZgxuh1sHtcXSnafx5LctVok6hkFCuAVbT/Cf254ie2uBJA5JRComDmUUhxqRWpc60iVInXCZ70or4vCu4R002Y4H07LT8MHaY4qJsOv7pmpyf6AVh/xr1GLU462pvXDPiA5YtK0AS3LO8LKvXp7UA5P6pMLpcos+y/xBTYMT9Y0uiqyPCjHCKZCrpgWu65XiU+GdbMrwnNvJ/VLxzuqjim28bxvcYq1MkhhldXaevTRJenir90irUhK+Kg454lBEcWjQY1z3RCzfp6zpNTnCgtF+NhspQZBRDx0DeP+8rHYXIoL9VwY2EGRCsFm7xlsy47CyvhEOlxu1xLXkWa60Vv43KJRx6IABT47vgseW7FVFxnvuBRRxaFB2DoQUh952jeUKiENS5Wp3qounIcl4n4lDP6xKLQIZh3I28h6QtrtBRj3PWUIpSMWhzeHGvjNVuOWTbajRUKErhMp6B654ewPuHsF3YVFNHFKKQwXZxcQyUz7egQNWPom061QVdp2qwlur8jBvej9kpfnXtON0uXHPlzvxp0wm/NfbOZHIy5P8rD02objGBpuA4thDHDYfn5vF8v1F2Hy8DAtnDWiV6AQKeq2JQ2J9g0U65udiJg6FFIekklat8EINyHPHuoByotFATW0wkHGoCVSPYrOzs+UXCuDiQ9Fe6fcDikMag+4DCjYBR//wYyMadBBaCbWhKYzvO012w3gUh3XngF0LgD1fA5X5HBEY1wXocyuQdaMyW0S9EbjiJY54JomtrtcAU7702e7IZ+ycDyx/nD9wc9mB09u4fxtfB25eCthqgG0fAge/V7f97Luk3ycVh1pYlXabCKx+Xp1a1BQKDH4AGPwg1xUkNWBq1Kirm1QcKrUpBThVYVCUcBdQmIaKQ4C7bi97FhjalF1QdhQAC0R34K7bC0XQyRXNA4rDvz763cFlwG7/CNi3tMW61xwOZE1DXrubMfHrQtgc4pNmNwv8crAU2V6Xw8GzlVh8mm8XZQZ/EN/AmnDPwp1wSBQ/T5TWITrEa6KzZxEYMvBcAjP0v2ORazQAprmDmSz4xYWZodMxVLGLVBySRKIYcWgx6vHchG548GvlebQmgw5X90xC9+QIPP/zIdHlbE43XvjlEKoaHBhE2JnSGYf836eQVWkDzFAylaIyDuWsrEJigDt+A1Y8CfbAMjBEznING4QFrnF423k93CLUpdKOfbUgSc+zEopDb1UJqYoE0KqWTgzDYFRGAoAW4rCg3Aqbw4UzlfxjJrMbtYacckdptpuU4jDEpPeJrPg7ok10MBhG2KDifCgOnxiXgREqFYJySIoIwv2jOuKd1Udll00Mt+DeUdoQl0U15L1N+PxkJIbhhWu7o87uxLJdZ5tfL24q7BZV21pF/Vfd4KCaUMLMnF2h2QD0SInA/rPVImurh9mgw6xhvmWi2ojmmj2nqjBn2T7cMrAt3piShdkLd0LuFE3pl4ore7TMA6NDTDzCy+FiUd3gQLm1EV9szsdX2/juQ3tOVeFMZT1So4JlrUqV2juT9yWr3dncUELC4XLjqSu6YNuJcpTVSTcP6RjgxUk9FGXh+QuGYRBiNvDUeHWNTkQotJmWApUvp2HDD2n9bnO4KbLfpNc1j8fMRnnCTsh23AEDOsaF4n8398HD3+yhxn8ehJoNPALcQ+iTuYJKrVrTooJgMuiaiUebw42zVQ3Nam7yGvJ2nfCAHCv5a1WqNPuTgh9WpaTiEOA+B0nmCYFsSPDFphQAZQFbYW3EP3882OqkoQf55fV4/Xd+/ILqTEVS9UmSJ0IgVInnrOLXT0mNHbd8sg3fzh6MjETf40h+2lsoSxp68PX2U5jcLxV92vgfxVJSbYNegDisYYXH0JX1Dsycn4OVjw6XHQf7Dcqq1M9GJHJ9g5nOzvOA0V3cNRtKcWijS9atqTjUG7h6dqOXsKI0l7+MmtpgIONQE/g1stq/fz/OnDlDvf7vf/8b69ev92fTAZxvFBGKQ7LgHyAOaeiNwNSFnGUn42M3YFyG/8dB2ZQSxQeyI6O2GMj9FXi3N7DmP0DFca6Tw9XIEYC/Pg681w8oVF6kRc1Z+jVT6PknDfcuBn5+SLojrPwYMG8UMG8ksPdrZd1jHvSbCaSPkF6GUt0psCq119DLeMNo4a41Nd09A+4GRj7V8mB3SUy4W8uqVOizi4FhgASRnEMtFYfeMAUDPacAlz3DEYm9pl1YVV8g4/DSQGJ3YMJ7wFMFwEP7gIcPAE+eAK58Dc9tami2YpKCC/xnyokSupBJ2mTaYJIkDQHgOGHbhAPLZI/FG511Z9GZ4cZ9HsUgWYT1dKqTRCBpyUNlqEgUxyZkJePV63tIWpZFWIyYPSId707rja1zRuPxyzPwym+5ost7493VR6nOetJOlOxeNcJJEYdWNzcRdrlZbDpWhi+25OOLLfnYkFfaXAR3uVmqUJeshKgKjubU448cwPvG2zDfeTk+dY7HE467MND+Ad5wTqGuGw96pka0WjE1JYp/7P/P3nWHR1Hu3TPbsum9JyS0JPTeEUEsCBaaiAKi2FCv9Xpt9xPL5SoXe0VFQARBRS8gVwXpRXonlBBCAiGk981m68z3x2aTnXf6lhTJeR6eh+zO7MzOTnnf3/mdc8RUQuV1TUWbANSTaSFcKxovIypIx8oPpBnHNcEhDsN9SxxKEXphMovPYQFajh2YE+1qQ/nQa9WCZLEUWeKJHWxKZAA+vLsvnhjTxe3PEMMzN3bFIxK5t0nh/lj50BCv5GHSNIPianZhVspOtxNhE5tb6mhkyfeBTSmARpLMFREu5MGsoSle25ZOrcIn9/RDlxhlYzebncar6zLxJNEsY2cYrD6Yjwkf78GOrBJ8MXOAYAawVk3hsdGd8fbk3iyVkVpFISKQfc6uPHAZt3ywC8v3XYKVYCIP5Fbgpvd3YcuZYkkSXS5xqERxaLHTSI4IwKqHhyJJ5L4coFPj8xkDMCbd92pDJ/gIUG+AHBvxWbi7C71WzSGV8gj7wLAAbeM501eGEspMEIc2RgUaKpQazLi5Rxx2vTCG80xLjw3Cwqm9OdebWVBxKG/8olGrOPeU7VkloBvOa1JRy684JLL5PLQqJXNFZcMDq1KtWsVRCZKNCEIwEMSelEOCEMixyZ8XynySWysG8l5fajAra0ghG3ppGceQqCvZBMblTtSabZi33rPoom/3KcsxX6FweSEUVptgYoStSvlQVGNiNQv5DKRrFG0FaA9sWsk6mkYPBAiQr34hgBu5xq0GfIpDUmSg9e08iaM6LCGagJXUBsnr9uJOoOCIe/t1DcOtM7qwsBCTJ0/GtGnTsHs3W2VUVlaG7777DnPnzsX06dNRXMxji9iO1gWGAQqPs18jyZF2SS8/NH7AhPeAh7YoXzd5iJeIQ+IaCyKyHUgP6LLzwI+zxMkiQxHw7Z0NSiwJ2G38+ZhS9pvehtkA/PaCvGVNVeAEHIuCcqj3xr8jvShHcciTh0h2Ickh7pIGAnN+d9i/8oG0ZCC74kSJQ29ZlZLEoYIOertNuLvy8n7v7WNrRnvG4V8LGj8gPAUISwbUWlwoMWBvTrn0euBONFUMd7JKklZk8YYPF0uJ64jPuloCMVQVgCY7rUqBTCTS9o4shhmJIpuQ4tCJuwd1wLa/j8Yjozqxij0ZccF4444e2PPSGLx4azfc0ScBEYE6rDpwWVE2zW+nilh/15hsOJ7v0pWoZnfV+vFkHNba1Fi+Nw+j392OGV8fwLz1pzFv/Wnct/QgRi3cjq93X0RJjQk2l8KFTq1CpEyFGQBQIQlQj3gKr9vux79ss7DGPhpGiBfnZwzpIPvzlYIkPa9UChf8KwwWqGHHi5rVOOD3JNdzYdt8YOk4riWNl0BRFLrGsov42cUGjkpSrEDtDUgV4uQqDimKQoKAWjXG3WLlNQqhnEMhYsYJ0k5SLu4ZnIztfx+NiSJ5f56Coii8Mr4bfn5sOO7sm8ApJGfEBWPjM6M49n7uosJoYSmFNCoKkRJkUqdo9rYvljmeUWS+odTzQS5qTFZU1LGL167X2539Ejj5vELIiAvCqK7849zrukbhh0eH4uYeyhrfGIbBP9dmYsV+8cLu6oP52Hi6CH+/KY31ekSgDv+4JR17XxqLF8dl8FoMktaJ727KYj2TSNRb7XjsuyOi+VSBOrVsZRIf4VYtpDi0OfYrLTYYW567Hm/cwY2++Mct6dj1whiM6+mjJkMBkN9XKgtQLsg8Om8qDgGwmmcAIK+sjni/6XpIiw3GoFRxZRKpOHS6CTiVd5GBOo7icPmcIZg2MBmBfqSdpQBxKLPx6UqlkXP85q0/jbHv78SSPbkoIRrE+BSHpLrRLKPZzxVeUxx6YFUK8OQcyiQOSQKc/I3kglQ3Hsxt+VqinWY4drWicMuqlH38bDLK7QdyK5BV5F7drNxgxvH8KkXr/HqqUHSsLhcOq1LueVrLiJ+fTstUn4IvbsbuAXHNqzgUuDf6e54X3aIgFYc2Ezfj0JdWpQD3GJay1cOyMg7NtcBPc4Btb7Jfr8wFFt8ALLnZEW/VDllQTByWl5dj2rRpOHPmDBiGgdHIPonsdjuGDBkCtVqN48eP4/777+cs045WgvIcYOMrwMLODhWWK5KHsv/2VHFotwFn/wesmAS8lQS8GQm81w34/SWg7IL0+q0dMgZwHAx/0jvb5igOiW5LsiOjIpczqOGFqRrY9Ir0ctX5/J/X3MThqTXcrEdvwC8EeOoYcPN8aWIHkKk4JIoSUlalTsT3AR7dxQ0NvuFVYOQz7NfIAY5NhDgkBwPuwt2MQ3MtsHIycHEb//sHFgGLxwLVzdCh1pIQUxxSKt93d7XDp/hTpo0MANAEpaIGd8JPWpWaGG4BZHBHtj0HR3HoRo6nM8/GWYSoIJQC4YFCikOJjEMZxYkOkQF4ZXw3HP6/G5E1fxxy3hqPjc+MwuzhqRzbm7XHlN0vNp0u4rw28bO9mLJoL/Zkl3GKOFrYEECxf4PsChte++U08iu4dp0FVfWY/+tZPP8T2xo+LlTfmL8jF/cO7iCbsOgcHYg7+/qGnKBphlMk23ymGA8tP4yd50vBEN6P5QYTPtJ+hsc0G+BPCTyTLu8Dltwkr3HJDaTFsomKrOJaFBAFlJa2KiVzqMQQJ6DoalccKgOpUnFCKtfNneOs16rw0rhuiq97dzEgJRwfTe+HpfcPZL1upxmv2tmSSurYEL1kNhaZL3mx4RmVT1yTd/RJwHVdFbhYCKC63opy0q7QhTj006ix7IFByJCwjcuIC8a3Dw7B2G7sOVfPhBBsf340Vjw4BP3csILbd7EcPxzOl14QwH+PFmBvDntcMaV/Ip4Y00U0Vy2KhyyRgtXO4Mudwg0dSnLcgohnfZ2I4tDqQkTrtWrc2otdLNRrVXhiTBfZakdvgiQOvac4VD42UoJQ4vmSU8pVHLrimRvTIHYZk01rTuLQqS4rr7OwiECNimo8X/hy8AD3FIdHLlViwsd7cIlHrZxbVod//e8MfjvJHufxnTfktkjbVDEwDINSg5cyDkWtSqWL9uSxJQlVIXCsSt0krknFIan+cxcRHtoBFynJOSTJWymrUprmZNzbZCaD/cEzB5GDqnoFzlkNsNhojFq4HX9bdRTVbqzvRFm1AZ0prlNILCoh1qCfVVzrEytyFlQaR+3EFZ7YlXKIQ72wVWlbzjcEuDav1nqu4tCXVqUAt9ZpI+bVUopDSx3w7UQg82fhZfIPtJOHCqCYOPzqq69QWlqKlJQUrFu3Dg8++CDr/djYWCxfvhzr1q1DSkoK8vLysGzZMq/tcDu8hCPfAJ8NBvZ/BtTzKCB2LmD/7Yni0FAKLL0F+GEGkLPN4VdM2xyWVAcWAZ8NAna/xx8u0lagICMKgMOX+eSPwKmfPA/r5RCHpOKQuLHyKFcEkb3ZQTSKoeIi/+vesr+Ui6zfffO5FAVEKMgnIckz3oxD0qpUAcnK0Fxr04FzuDaW5ABHrMvK9bei7Q7r4os7gYKjys5PdxSHNA2seQDIlbC3Lj0LrJzy11Yeik4Sg5vf+rcdXkWtSf7kzMawJ/xqcAsXXMUhtxhIKs3IAhES2YVkKZgYLbKYZABNRQiO4rChKEUWG8hMQ/JvpcUJP41asChN0wwnR1AKQiOQI5cqcd/SA/j5BPv+pqIYpASxv0OpSXpY/ecF9phLysqPD6EBWiyfM1iyIJUc4Y9vHhgsK9dGKerMNjy4/BA+3MIm+BgAW84WY/bSg3hs5VGWPVbMuRW4Tb1f+sON5cCPs30yLkwnFIfni2o5ikNfW5WGSCgOwxUoUIXyMWPbFYeKIKQ4FLMqLa01Y/Fu5erYJ0Z38UoWmlKkEef+pXKjV4t3hQRxKERquyI1MpA1tKk0WlFZZ8Flovmia2wwVjw4BP97ciTuG5aCrjJVkn2S2QW8Gp6MQ1LhGxuix38fH45/ju+GlEhucWxU1yisfXwEYoL1yCXUWtelRQueS3Kg1ELuUB47q6dztPRxcZfIOFMoPFdRQtyRhFuNySZYvLYSpA1px65thjxDIQT7iDhU6sagFKTikDyHycaVEV2isGBKb0HyMALsOakKNAJRj7Jax3V2lXi+ujYUcG1BHeMFs10ZcVhQVY853xySJEHIRjdeq1Iim88sU6kHOBoTXM9RFSXfQYADUcWh9BjFX8c+ZnIVhyRx6LZVqcbz8/abBwbh03v74Y07emDhlN7Y+vfr0dlDhbyinEOyYVyq8Z5HkShlVeqEu8Squ80/NAP872Qhpn+1HzUC81M7zeDY5UpsOl2EnedL2WrNgiNYXPMoZmq2ctZ7XfctvtO+xbk3OMEw8D1xSFE8OYeeKA6JddV+jggJPrR14pC8v7SE4lDqGIZIZBxufwsoOCy9HUMRsO5x+ft1DUPxaGvHjh2gKAoLFy5ERkaG4HJdunTB/PnzwTAMNm7c6NFOtsPLOLmmIQdO5OFnJMhEdxWHZoNDZSh24TI0sPVNYO8n7m2jNYDswtCHiuce1l4Fzv4C/Pwg8EFP4Pwf7m+btJoLJBSH/hHihIQoGCBbYt+EiMPmVhz6yk5XCQHKMNxrh09xSFpO2uo5YdqCMFawu9lUGodVgtTgSMqq1GwAdr0LfNQH+PI64Ns7gMVjgPe7A1te5xKifHAn4zBnG3Bhs/RygIM8PPqtvGXbIsQUhy2ZvdgOr0DK8s4VZFYdL3FIiVuVatUUx3LpcoURZpsdDOOYDH5WO0r2PgHAL/bhqIFjsuBUEFbUsSecTtKDzOUhFYa+zPGhKEDtRaKdZoAX13PzEjsGsb9DPZQXZGXlG/IgPS64sYhOFg7CArR4ZFQnrH9iJJIjvN8VStMMHvvuKLZnlYout/F0EZ7+/phDeUjTSM9bKX8jJaelG0rcAGlVeiivgpU7qlZRbttPyoWY4lCrphCo4FpICBNSHLYTh0rQUYBwEcp1u1Reh4mf/YkfDl1RtJ37h6fibzf4JtNQCrHBepZ9ncVOo6BSWYOFGIqIZg05xKFeq+bY7V4sq+NkHCY3kPk9E0Px5p09sfm567FoRn8OCeKEVk3hb2O6YGr/JNbr1bzEIfdaCdBp8PCoTtj+99F47PrOrPdC/LWNzytSxS+kXJUDm53G1rMl0gu6gCw2y7Gddds6ERDMGVamOGQ/rwqr6yFUQybVXqQSjRzjNCdIC0eScHEXpDsDafvuKUhikMw4DA/kXlPTBibjx0eHYWxGTCPR35W6grW6eZilYce1BFEm7Pf7G/pfWgzQNCf32FXRryd+P0HFoQRB/NXOHLeUU3zqW08Uh2SGX0Sgn6TqWhAeZBwCXKtSuRmHXKtSdxWH7O0rvVb1WhWGd47Cbb0TMHt4KqYNSkbn6CC398cJRYpDTv2MEc05zC3hOl9ZZRKHATo1bHYaVyqNuFReJ1shGhPsx1HuK8HZwhq88Qs7P85ss+OLnTkYtXA7Jn2+F4+uOILZSw9i6Ntb8eTqY8g99SeY5bcjCcJzgBHq01itm48QcBu+Y4L9ZOeWegTSVccj4pDHqtQvhL/e29aJQ7KmaKnjkuK+VhxK2b2SQhlXmA3K6oWX9jhEE+0QheI7b2FhIfz9/dGnTx/JZQcOHAg/Pz9cvuw9H+OFCxdiyZIlGDlyJJYsWcK7TElJCT7//HPs2rULJSUlCA0NRd++fTFnzhwMGDBA9PN/++03fPfddzh79ixomkZSUhLGjx+POXPmQK8XngB5ss1mhdUE/C4zB84VpirHg1KOVaMr9i8Cik/JW3brG0CvqdIdBK0RZBdGdDdg6lLg9Drg2AoH4SGEuhJg9d3A3SuBjAnKt83JOCSIQ5XKoTqslmd9w4EUaVyZx/+6XPtNb8FX+W+03WFNIdb554Spmvtg5bMx0AUCoMDSuFgM8jzR+VR9fF1VVqIYJGZVaih1SPVLTnPfM5YBez5wqGNnrQWiuorsmxtWpYe+ll6GtfwSYMjcv6b6Tuz+2p5v2OYxKk1+5ieZiaGRY1VKKA6tdgZ/W3UU/jp14wTUTjM4mV+F9zdnY9/FcgDh6KXthVFq6ec0ow3Al+bbGv+utzoISNJiLKKh6EQW1cguel/m+FAUhW7xIThV4D37ahujgg0qaFxI3AQ9+Rsob9IRIn7kIDZEjzfv7IkXx2XgeH4Vak02hPpr0a9DmE9Uhk78nlmEXefFSUMnNp0uxo7zpRijv4AwkzKSBcdXAZ1GK94/MZCqqxoilyouRA+Nj1UsYh384QE6UAqeb0LkTGy7VakiJAuoTPnykExWOx745hBHqSqGUWnReGB4KkanRyv6fb0JlYpCalQgzhY2qQByygzowKOqcwek4jBe5jnYKTqQdSxzeYhDvn28tVc8xmTE4NeThdh0ugiVRgv8dRoM6RiBuwclIyrIDxtOsG3Uakw26OuErUpJqFQUBneMwCIXm84LJU3zGzI32JMCrsFsU0RS8MGXikPAQarYeAranhCHV0TIa1JhSCoQW1JxSBIY3iMOSatIb1uVsscp5LUWJmCVPTA1Akvuj0BhdT2unDmAvtv+Ba2Vv0k4mKrHbWVLgf/ZcTWcHaXhOuYhFYcmm0DGoQjJUG+x4+ej7kVZ8CsO3c84LCHzDT1R/nvZqtQk83sYSDcQt4lD9nHsGBWIcwpy/G7vncD7uw/vHIkdEk1rYijxxKoUcNSEeObrh/Iq8PSyPdjr8ninGQqMTJ1OblkdBv17Cyob8l61agrjesbjgRGp6C9ie11ptKJbXDA3w14BfjlRgJduzUB0sB8MZhvmLDuEg3nc+p/VzmDDiQI8ee5FUJT09tJVV/B3zY94zfYA6/VJ/X2X7cyC2pvEIbGuRu+oRfmHO2plrmjrxCFH0Ux29vDUHb0N0qrUFX4h4g31Wb9z3dmkcOJ7IL63snWuMSgebQUEBMBms4Gm5T18VCoVNBrvFIMOHTokaXuan5+PSZMmYfXq1SgoKIBer0dFRQW2bNmCmTNnYtWqVYLr/uc//8Gzzz6Lw4cPw2KxgKIoZGdn46OPPsJdd92Fqir+4FlPttnsOL3WPWUWQztIESWw24DDS+UvT9varpqItE/UBQChiUBwrDhp6ARDA2vnOrodNr8GfHFdg/LremDbfKBapNhGEkl8HRhiXRlSkFI6tRar0o7KlDOKIFc9SaoN/cMBNc/9j6K41qJyt1FHdCM7yTlJxaHIYCnrN37S0BXV+Y4cQrH7gDvEYe4u6WVcUZ4N1BYqW6etoF1x+JdGSmQgrpdJHtqJ4RlfxiFpVWpiuBNcG821WXrq++MNpCEAUPib9UkcpzuJ75A2APa7vkUO0zTZYxjAbKM56g1nNzvZJU920fs6x2f64GSvfh4AWBn2dwpXswuefDmTUhCymlSCQD8NRnSJwriecXmoZSMAACAASURBVBjWOdKnpCEArNifp2z5fZeEm4zE4M46EogI1IlmfPnaphRwdJYLqRCU5BsC4Ki1nPCoYHmN4Xh+FWYtOcD73hsbzmDWkgOocmmQ+N/JQkVFugdGpODbOYMxJiOmxUhDJ0hiK9eDYiMJMuNQjuIQ4Kr0MguqOUq65HB+clOvVWPKgCR8dd9ArJk7HN/OGczKvCMVo/yKQ/FrjlTxXSyrg51mYLLaOZbYnaLcH6t5et+ODNTJsjn25N5AqpgaP9MDq1Ix4tAmoThsFtWKAEgC1FcZh/5eVxyyrwlS7Smk4nUiPkiLQQefFiQNWTi6HBEX17HXF1UcKicOs4pr3SZtI2UoDp32qXJAZj579Bz20KrU/YxDdkMcackrF+T2O0YFKlJfzh6eyvv6XQOSFV33pK01+ZwSBd+8nMeOtKjahAe/OQSTmf37y1UbUnA05DlJQ8BJ0l3F5M/34pOt3Mzv6norXvzpJIa+vRW/nnIvH9F1W780NNk898NxXtLQiWGqM0ij5DcBTlHvRhCamhO0agozh6S4v7NKwFEcejPjsOGz+exKxUivtgApUlAb4PsGfjHyNThe+D3APbGMuwKbawiKR1upqamwWq3YsWOH5LJ79+5FfX09OnZUkA8mAIPBgBdffFGUsLTZbHjkkUdQVlaGPn36YOPGjTh8+DD27t2Lu+++GzRNY/78+Thx4gRn3V9++QVLly6FWq3Gq6++iqNHj+LYsWNYsmQJoqOjcf78ebz00kte3WaLIHuT++sqtSstOuGw5FSCc78qW761gOP73DDBPfCF/M8w1wBfjgL+/BAoOukomBUeB3a9A3zYG9j+Nn/ej5TiEJAOkBVD6nXi7wtlIJprmze3st8sQO1mjoAU5JKgcvINnSAVZO5uw0nOaUnikMw4FLFwkdtMUHXZkY/KB5rmdlxJEYc0rTwfFGh+NWtzQYw4bFcc/iXwzwndZOVRkFalGkraqpRUHDpBFoVIVUgNgjDd8iretd6FQoY9AWJUWqDnVOChrdCk3QStmj1RMFrsPIpDJ3FIKA6JLnpf5/hM6pfIssTyBqyEUYfezr4X8eVMSsETxWFLwGixYf9FZePBXedLYXdnOED5pihMqg5dkeTlc4YPFEUJ3gf4bOKEYLXTyLzK38xzOK9SUcHzWsWpK9W4d/F+FFQJF5R2Z5fhnsUHGnNqVx1QlkP3y/FCDgHSUiBJOjLfzBNwFIcymyI6ESo5Us0cGahzW/VCWoTX1ls5pGSESCMB4LBWdFXPWGwOO7ncsjrWNCc8QKson5SEXqtGnyT3lQpys7+U5BGSECJCojxQHIpZTJIKQ1KR2ZKKQ/J7kEotd8F1Y/B2xqH4OSrZvJL1m6Kmnv5XV8FVseJqzy6kiiN/ZynFoTvw06h4n8Ok4lCZVSmZoehBXUJMcSgjX4wk+eVmHNZ5TXHI3r5WrcKbd/aQte7Lt2agZyL/vTA8UIenZNp9B+jUmEzYVRfXKlCdURTXipIn6mnZ3lzUmGycJk+5+YZSw+P3Np/Ht/vyGv+uMlow7Yt9+OFwPodkdxf5FUacvFKFP84Uiy53h2qvos8Noky4QXW88e9/T+rlkwgFXvgy49D52f48atC2rjikKK5a0xW+tikFxF3YpOraSh0SAfEaXDsAuEEc3n777WAYBq+99hrOnz8vuFxeXh5effVVUBSFcePGebSTAPCvf/2rUc0nhA0bNuDixYsIDg7Gl19+2UhYhoeH480338QNN9wAu92Ojz76iLWe3W7Hp59+CgB4+OGHMXPmTOh0jgf9yJEjsWjRIlAUhe3bt+Po0aNe2WaLoZ5fNSlvXYXEoTu5iPWV0su0RpAZh7pAB6F25ZDCDxIYOjB2YOcCYMtrxOsMYCAUaLzEoURnhhASBwIJfYXfp2mgUoA4BMNVYvoSQdHAdX/3zWfLJaqUEGccxaHMbQj93pzBEVEE82Sw5IpDS/gJYVMVezBNqfgHU65QqdwbXEl9bluFWHcpeb60o00iLTYYy+cMgkYt3KmnprhWpSq+jEPCqpTMOFQCE/zwqX0SRpo/wlTzPMy1PIP7LS/gyNS9wNQlQGx3ANxChNFic1tx6OscnwCdBkvuHyhqQ6cUZoI4JDvuhchbMXhDcdicqKlX3tlvoxkU691oIowWzlL3BKLEYTMoDgFu0dkJuYrD6norZnx9AO/9wT8Xe3/zeUz7Yh+v1WY7HKBpBs/8cIxzL+LD2cIafLA5GwzDKLZALq+zcEi1lkJHgji8WOa9RiwyO0q24jCa3Cf23CHJgyJjiJ5LUlXUsa8JqWeESkVxLECziw08NqWeN3jNGOq+EkOOTSngvgpqQEq44G/qieJQDBai40Rp9p0vQX4PrykOyaYqDzPdSEjlbUs+g44rc9LqYM5GOtWk5khwOYdIcsls48849BP5naOD3RvjRQX58SrA/TTEPimwKvWq4lClgkOLxgMZhXt3icNawr5dTrMjH7iksB0zhqTgw7v7Cqpag/UavD25Fx4lcmVJPDGmCx6+TnxMGeynwdezB6JvMpuAKFb6LCbn5nb28bHaafx4yHF+awnikGwC9QTvbMxqvDc8v+YEsorl277KAUUBqw5Ix4vFUsprtTFUJSIDdfj03n6YNtD7bjCCIBWHYu5bUhBSHPJFErV1xSHAFSSw3msG4lDsGErVtWPlNSh4vM41BsWjrSlTpqBr164oLS3F5MmT8cQTT2DJkiVYv3491q9fj2XLluGpp57CHXfcgatXryI1NRUzZ870aCc3bdqEdevWoVevXrjpppsEl/v+++8BABMnTkR4OLewPHfuXAAOJWRJSVPxfe/evbh06RJUKhVmz57NWa9Xr14YOXIkAGDdOrbdgrvbbDHoQ9xfVykR6I5CRoZne6sEqZrSBgA17vnti+LPj4CCI01/WwxctSMfWRXshlWpSgPc9Ib4MoYicdl/c9uVXv8iMOhh8WW0gcq7StxWA0YKL0taT8r14uZkHDaoGqXsGDwZLLmi6hJQy2OJQe5XQGTDpEcCaQobSxL6O0jivyLaMw6vCXSMCgIjUIe4sVsMusYGcxWHvBmHpFWp5wSZHWocZjKwkR6MHXRfrM1i3zdIcq/WZOMUGYQVhyRxSOb4eL/bLyMuBOueGIHb+yRAw2ORFCZhyUWCVBxqrOz7tju/gZDVZGtFkEg+nxhGLC9HJp2qbKX+97m1LSl0jRW+nzaHVSkgnHMoR7FkpxnMXXEEB3PFx+UnrlRjzvLDXutI/6thz4Uy5Ciw6lxzOB8Gk42TuyYHnmbXeQskueUtq1KGYVBI2HbGyyQOSTKThFD+pByQJEmNyYoKgzKrUoBrV3qh1IBcgnQl1Zzu4M6+CegWL2+uTloIkvsoBCUknxN+GhVeva07QvT8z0xPMg7FYCXuXZyMw7+gVSm3qaqZFYdSqnfBhmFhdKCaamCuikNunqByq9LO0UGyz31XCKkBPVEccohDD9S9AAQaSuXli/nruMSdHJDnsfvEIWFD2/CbTuyXiH0vj+U0aT00siMOvDIW9wzuIPnZFEXhnxO647uHhuCm7rFwHd6HBWjxyKhO2PjsKAzvHMVpdiiuVUgckspPwqq0oLK+0WJUQ7GPsVyrUjmoNduw/vhVXCipxZaz3q8pd40JxrHL0gITd5pUo0KDsPflG3Bb7wR3ds19eNWqlD1uaLwGea1K27jiEAA0IuOu5qjXix3DEAnisNMYIEz6PtIIlQboO0P+8tcoFI+29Ho9Fi1ahJ49e8Jms2Hr1q1499138dJLL+Gll17CwoUL8ccff8BisSAjIwOLFy8WVQlKoaSkBPPmzYNer8d//vMfwbxEo9GIkydPAgCGDRvGu0yvXr0QHBwMhmGwZ8+extcPHHDkWmRkZCAigufiBzB8+HAAYK3nyTZbDJ1Gu7+uUsVhfG9HeKkSSNlitlbwKQ59ZZt58Oum/5PqM/9w7kMS4HZmRKWLb0OtA6YsAVJHii8nlG/ohNzcPm+BooAuNwq/32MS8LeDwPTVgE5EwUUSi7IzDhVYlZIKMtnkJJlx6FQcEg94TsahiFWpUriS1fWVwO73geW3EcvUAxe2SNvVShG9JAYrXL4tQdSqtI02VbSjEVcqjVh98DL+ufYU7ALXxYCUcJwrquXJOOQWLjjEoRtqNykUEwoSshBxtYpdKNZpVI1FLpIIrLPYwLh8b26Oj29y+ZIjAvDJPf2w9+Ub8O5dffB/E7phweRe2PH8aPzfhO6KPstC5EgyJjZxWK/wNwjQqRHi37bsUYL8NJwObjlgQGGR7Q75K3QcBST2V7wdORBTHCaGNY+FklABPkKG4nDzmSKXnFJxnMivwrrjPmhk+wtgwwllcQq1Zht2XyhDbIiyYjBFtZ7MyY6R7LHE1WqT21Z/rqiutzbaDAKASsF3Tgj15xTrXdHBE8UhQRxa7Qzn2RMZKL2fZE7WhRLfKA79NGp888AgpIk0NwAOkjCaOA87R8sbJ4b6azmNNHyNNU4E+2mwZPYg9E0OE3xe+Yw4lMg4FFOi+Rqk4rDWa8Shb23cpYjBMKlnkBsW4rSLcs61WYpPlQYos6SlKAqzhylX6kYKkHpcMlMBcWjwouIQ4LcrlZkvxiHu5BKHZFOfu8ShRpi41GvVHDJ4Qu94xc4jI7pEYfF9A3H8tZux5blR2PmP0Tj0zxvxyvhujVEF5PO6ymiVfSwAcJt6iXqK67mqBfvYybUqlYs/L5Thx8Py8wXlIkCnxu194mXZ25+kxdWgfCgM6sFR8jYLvGpVyqM4PPUTkL2Zu+z+RUCe8rq/wWzDifwqHMqrQH6FUXoFX6KlFYeiVqUSxKFKDYx8Vv62+s6QJiPboZw4BICkpCT8+OOPeO+99zBu3DgkJSVBr9dDq9UiOjoao0ePxoIFC7BmzRokJSVJf6AIXn75ZVRVVeG5555D587CN6rc3NzG/MNOnTrxLqNSqdChg4N9zs5uCpm9cOGC6HqAI9sRAAoKCmA0Gj3eZouh1zTlZJ4TRnlFikboAoE+9yhbZ9CDypZvLeDLOIxKE/eHdhdn1jksQgEe20oBZSHpBa0LAEYI3FA7jwUe2wv0mCi9L0L5hk40J3FoNgAFR4GDi4WX6TEJCE0C0m4GnjrGJar9I4BxC4DkIezXZZN6xDUSqCDjUK5VKalqbLQqJc41K7ug7zWrUqDpe5WcBRaNALa+wT0XLQZg5RRgw1MALTIQTR4E9OcqvXmRep3jHvZXhRhxSCpU29FmcKHEgIeWH8J1C7fj5f+ewu+ZwiH2BZWOiYmdkVYc6invWZUKgZzYk9ZHBQRxGBGga7R+IolAhmmyoQJ4cnz8fDupjAnWY+qAJDx0XSdMH9wBqVGBuK13vKK8J1JxaDOyu3OVkrcJYf68VlmtHbPctNP7lR6Kz+WQh1FpwJSlbm1DDtJiWt6qVEhxKEcFu2K/soy9lQqXv1ZAWmvKQXGNCXf0UdY1PzYjRpAobm6EBmg51pzeyDkkrVijg/1k58+pVJSo6tCTPCStWiVKvPhr1bKaVkhFU3aJATllJHHonQav2BA91j4+Ai+MSxfM6V06eyCuVLCfv3JVVyoVxXnu9evALdIlhOrx7I1p2Pr89RjZ1THuFzqPIxVkuSl51pPEIVdx2HLPzyDie3jNqpSTcehtq1IPMw6jJZqPeXCBSQTgyGt0JZ+FVGlmBYpDAJg+uANGdBFx+eGBkOKQ3JaijENvKw755oUy88VIUrbeIu97cKxK3XSZ4NjQEmSd0UtZioDjvtQlJhgpkYGc506ATsMZb5XUKKiJkKpPIuMwJtivkcclmzy9TRxera5HtpctSgFg5tAUBOu1iAmWFvussV8PCyP/e52mU3CGkpdJ6XVwFIdezDi8vB/4+UFuQz8AFB4DvrkNOPCVrI++UGLASz+fxMD5m3HnZ3/iri/24bqF2zH58z/xy4mrrKbbZoOo4rClrUolMg4BYMADwJC50st1HAXculD+fl3DcLtNS6VSYcKECfjwww+xefNmHDt2DCdPnsSuXbvwxRdfYOLEidBqPZskrVy5Env27MHgwYNx333idkWuNqBxccInU0yMo8heWtpkq+dcNzZW2M7RuZ7rup5ss8XgFwSMnSdvWbLLyZ3MwpHPiOe8uaLfLCCmm/JttAaQWX66AEenRI9J3t+W1QhYGgYNBiLAmC/fEACCiPOztgioFyCCe04GorrK2xcpxWFzWJWW5wAbngHeTQMWjwFytggv65qhGRTtKE66YtgTwNDHuBl6skk90q5TgeJQLslKEnSNVqUiXVW03ZGT6Q10GuOwD6gtAr6dKG3Je/Rb4I9XxZeZ8L40edh5LDB9FaBuW+ocRRBVHLZnHLZFHLtciUmf/4ktZ0skxbcAYG1oCpGTcahEcehuzl/vJPbAnSzAFlSyC5euNos6jQpaIsvRtbDG6Wr2gVWpFPRaNT65p59kUQoAhnaMgIUgDnVEd7FS4lCulV9rwx19E9Cfp9AsBwtt0/EP6yPIp3nGhmo/oN9MYM4mn1pSh/hrBO0J5WYMegoh4lDKNtFmp7EvR1kj38kr1ag1edF14C8CMZWbEHQaFWYOTRFVaJGYPTxV8XZ8CZLg8gZxWFRN5hsqI+DFSDdPFIeAeKabHJtSgEvK5ZQYcLHU+1alTgT6afD46C7Y9cIYbH52FGII5dIfZ4pZhIa/Vq3I9ppUQh0lLOr+PbEn/nzpBjx9Y1dWMZlUcAKO46tETeJJxiGHUGpBxWGQH/tYeM+q1MeKQ5HmFIqSzkBUaiG+z94dlxhHHSKeaJYSIpdIglhqjKZVq7D4voG4pYf8aBahpjHyXLbTDGwyyUOvKw755rwy1T7uZhxyrUrdO/+4ikf2MSTnAN4+z10RG8IeaytqGuJYlbL3OyxAh+vTHONVMuPQpoBgk4Njl6twOE95xqAYRqdH4/mbHc0AE3pLq67KEIqVduHoMBIf2qbA7Ia9u1dACjhca2NFp4CdC4HfXwS2vgnkbGsSZvCBVByWnpXYOAP8/g/g3K+iS207V4zbPtmN7w/lc66Ro5er8NTqY3juxxOy70FeQ0srDsWsSoNlNO9RlEMMcvvHQISAOGzYk8CMn8S/azsa0WorsDk5OXjnnXcQGBiIBQsWSHZkGwxNg3cxa1Tne67L19U5Jkz+/sIDbtf3nOt6sk2lsNvtyMrKcnt9FkJHIaL344g++bnw9rRBqO1wI8JymjIdqwpzUezGPvhd9wGSdjwNjUm40FGTPBaFXecC3vqOzYz4skK46jiLKw2oysqCLvEOpGT+FyraIriuOzh/8TIYtQ5hF0/BdYhcQ+tRyHMM1eY6uPb6MIZiWHL+BN9wtuRyNioD5P0O8ZdOQEy/WnDxHAwWN/IVZSKg6CASd78AlU2enL/08nlUBDV9t/iSy6z9L6qxoDorC3EmO1wfV8VXLqJKxjFJKr0E17LB1WoLagXO6RijDa70ZOnVXFTIOP87VV1l6YryyuphtmdBU1cIV0223WLEhYbPo2wmEBSp2yhIHA9DVhaij7yPCIOwcoqF/Z/hYtRYWINFFOjpT0AfOQph2T8hqGA31FYDaLUextiBqOo6BXXxw4BLhQAKvfI9WiUYBkJ9vMXVRlS10fvjtYoasx0P/fcyak3ySXub0WF9yc045E4Y9GATAUL5elEBanQM06C8TtlzSKsC+oWaWGMP2sqeOJ3LZzcy+MHKWt5PTbHywDLPZSMu2HEHqyOIjKv5eTCWNr+VTQSAt2+Oxzu7ilFk4Bb+KACTeoQiLUoLa4H4sFlpxmEgLN4b2zUzXh4Rjnn1JpwtVa7aWmMfjZ/tozBSdQo9qVzoKBvqtFGYevsUR+NOfikA3zTbGcx2LNhZjAqB6+G6/2zBC6NiMSjJt/bQdhM/WVNXUYKsLGEip85Cg3ajBnPizHlEB7baaV+LIFGvvNAfaquCqcyERwdH4rP9ZZLL39ktFDF0BbKy3Gi+9BEitOzvffBcHrr4yczZFsDx89Wsv4NUVkX3tlBKWAlgrSpCVpZC1xsX+FHCBbdADS1rP200AzUFOB9nBqK4rqIAU3kBsqp8o4DrE6vDZhc10ze7L7DeTwzWIDv7vOzP8yccC+zETSVeXYPz57mfV19dzXktVAdFvzXDsI+lGOqM9azPzr/CPk/N9cYWe4aWE8++ilrv7EuVgd2QVVpUgCy7++c/CfK3dkWgVoULUucRE4+UiAzoK87J2t6X9qYoi1At+3qrIVRn9VZHvau4lH1vra2qkHVsnxscjAkdtdhwrhqni02orLeh3sb/fX84mIdQxoDRndiNmXzHJ/NsFvy14uSlnWZQThCHVcX5yKpyf1zbmaE4xVozo0aejGNRV80mmApLymQdw6o69nldevUKskzKx2NFZezPqTE2zScYhuEQlIWX81BX4ps5ANnk9/HGk3h4UFTjfEQMHWmG1RKYl5MNM/E4v7GDBjuyAI2PrUoB9yyR/bUU6q3s81qnpjC1Zxhm9A1Bbo7DFa9XsB0BWhWMEva8b9nuRTxVjlvVh0SX+5d1JjbTA5FiqG+R+3R8vYVd5yu4BJNpA2IOv4OAshPshXe/B0tQMkr7PQlD0mjOZ0WXFoI/0Ewcpo3zcAmdee2FL5Sb8eyvVzgNMiTWHisAZTHg0cG+a6gkkWxlIEQP1pjsvPVmb0KsdplTaoTNKHP7QUOBm1fBv+QoEve8BLWlaQxxObA36nPyPN7XloTdboda3Ty1k5Zr0xKB1WrFCy+8AJPJhFdeeQWJiYmS69jtjoGHVqsVJRl1Oh1reQCw2WyN60qt57quJ9tsaVT0uB+Xbv4GNj92x7hdG4SyHnOQO/4HmCLY2T9qC3eyIAfm8DTk3fodyno8CPK2SKu0KBjxFgpH/FsgALptgLKzB/l0g7zbEtYFhcP/BZrPo95NmMLTwTTkJ6pN7JGLTc9v02HXhYJxUTNRDA2/6hzeZVVW+QS3zsBWm9EqdtFURVq4ehG66hwk7npeNmkIACoLe8KpJv6mG2x8aQ37USn3e6jN7I5duz5cYEmA1rKLkrK2wTBQm9kTAZufYxsMcewpe9PkhaLFlQYM5BU6alJuhiFxFChbPUJz/ydrHSfCLvxXchlTVC8UDXsDF6ZuQ9bd+5A9bRcKrn8fdQkj3MrUaHOgKDAU/8OfPCfb0fqx6XwNqhWQhoDDxik9yo8n45DHqpRQHPJZlQbpVHh9bDxSw5WrqG7vFoowIs9IT3R9lxjY95ZQPfv8JZd32lDZaAbkvFTfgpZjPWP9sXRKCt64MR5JoezjOLF7KB4dHI06C81RHJIwK1QctmUiJ0SvxrvjE/H3kTGI8Fc+aaGhwi66Dz63T8SHtqlYXD8a+RbfknUmG41X/riKQwXCz9saM43XthTicIHnKiwxBOj4n2khevFjqddQcEMoh2CB7V3LuCUtBAqEg0iL8kPXKEcz6B3dwvDsiBj4C9y3NCpgRt9wzB0i4jzRQkgMYd+nrlR7rkYtrWMXM6MDlN3bEkP550kqyvP7ZJCf8LkfKlNNo1FRSAwRnsvFBmmhU/vuGdY7jt3cfKWG/ZslhymbZ4aL3LPD/dVIECio85EnUvcsEhRFCd7/SJDjBCtB6pCuBs0J8lhIFdvlglSdSBFWSqFWUQgUev7IuR4oFQpGLoQ1UFqdtNB6N3bQfRv/Jq9lP+L3o5mG8SEx5FXyO6dH6/H8dbH4alIHdIsRbuwvN9rx9s5iLDvCJmXVKgrk5qwyWO5as53V1KNRef7cZSjuvY8WsxB0gR/xbJKr+iLPY7nXKnf7wpavVjvDaYAiFYreQLXJjte2FOJMCZvE3HOpDvf/dAlv7SjiWANzQP4GDJe4G5gYgNszQjlWpWS8QUsgMkCN76alYkAi+7yZ2jMMs/tHstwTAnVqPDcyRrIqZIMGT1ifxv9ZH0AOzb0PlIX3xyzLS1hiHw9Amd2vN+Gslzqhq8lFhy0Pc0lD5/uGfCTufgGhF9Zy3qPs7olA9FUXoC87xfveimMVkqShE+vOVHPGWb4EIxK3RZMuZ77YvkbPqSs7IVTvFgSlQn3sQNRH9mC9rKuRiNxqBwstfzfjwaefforMzEyMGTMGU6dOlbWOn5/j5LZarWAYRpDIs1gcF70rSehUBFqtwhMn53qu63qyTaVQq9VIT1fuKS+OdODAPMCF7FDP3oCopP6IAgB9JeDSSBKstnq2Dz36A6eXsF5SURQSb3xcVshzq8YB9mAnPrkT4p3HKj0dyBgI7HgbuMBjo5nQD7h6TPam9CMfb/odstgPkIjkDEQI/UbBCUD1ZcnPjwrUIkrO78wwwH+vsl5SxfVgfZf4iMCm4+BtrHkbsCtTOkT6U4h03Z8d7PUTOvcEOqUDl5MAl2be6BA9ouV8j1/ZpGtyel8gTmC9kg7AGZd9C9Sy940PphrAzu5m7NJ7iIN0N7GJfZXdjPS0NMe1RdqbUiqAaRrEUWAcIcJ7PhDedr9ZCJnwPkI0OkfgswKCGQAiqk4Kn5vtaIJKA/A0mcSndPHdtdQOn2Drhh2K1wkKDcdT3VLx2Wp2Jx1fxqEfJ+OQPcC+Pi0ar97WHWoVhUVHjiraj1t7xmHhPf2gIWzAYo4ZgctNhEo5cQtOiYtkjRNCAwtRZmx6TsUkJCO9Qziq660AmppXKAro3T2jxfP+uncDLLqL+PdvTRY0lD4I6enp2FyQDQsjPmyuV0gc9uqchPT0ZLf2tbWgRzfArM3Cp9svSC8sgaj4ZKQnu2eBKgfvbz6PrDLpjBM7A3ywtwJ/vtRHkQWfEqQW5gAnuZZTfbt1QUqkOIE6Ot2ALWeLRZdxxdBOEejTs41GAfgYMy4xsjMjXxjfC+npTS4a6enAnJusWHusAFvOlqDaaEGgnwYjukRh2sBkz23qfIQhtiIsdSmWl1s8n2NaT54A0HQ+va/YQgAAIABJREFUd0uNR3p6Z+EVCBj9K/Hubm5WUEKYP3p0y/Bo3+L21yCzmH++kBwbLvu7d08y4HI1v9NGRkKYD+bpTQiINuK9PTxZSg3o1zkB6ekyYyYAdMljsCmbPyJhWJdoZGSwjznDMFiyJxeLDnKVs2dLzfj+vA0v3JIhKy8SAEL8C1BrrpdcjlKxz8395XlwVaNHhof69LiLIbiqHkDTvNpsp7yyL2Y6j/V397TOSAr3bvNgZNBV1FVwG2hiwgJlfod0oOsOYNMrwJn1HPvGXDoWH9im4hd6BOv17ilxrPPUkd3Fjj3p0LEzAk5bADTNaxPjYpGeLmA3J4DXfzmNo1elz7HvT1ZiQFoy7hrYNBbTa3NZhFJyaifESVjLny2sAZDX+Hd0sJ5zHSmGnx4gfib/4AhZv1Fy5SXgUNN93i8gSHI9hmFQb2WP5Xp3S0OYGxbuARVGuF4fNkbVuP3KOgtcf3eNikLPbulenQNU1Fnw+Bd7kVPK3wTGANiZa0CZWYXvHxmKYKEc4s0BgEvJIzU5CUjiHseP0hj8+FM+q7ZDNoG2BB4a1RX9e3XGyCINjhRkN76uD+J/ZqWnAwkJhXjxp5OC6sZBqeE4lFeJlfabsNJ+I8aFFeCL26IdNYzYHqiyx2L3+zsbl7fDF3VsGTgfA7hwQxEXNwA26XtC3OH/IK7fOCChqekB59wny1JURUD6XazXrlbV4+AV+fMmmgEOlWvxbH9veYhJ4GgUIGAsFhaVgLDm+D39w7gZkoHRSO/e073PyxsAFO5r/DNOVY24Nl5bO378eLNtq9URh8eOHcPixYsRHh6O+fPny14vMLBpkm02mwWtQ00mx8QhKKgpq8C5rvM9PtTXN91knOt6ss1WAYYBSKvBEJeuEX9CkO1OxqEryBxAALBbAFMVN1OurYFUi+mI3zppIDDzZ0cm4LIJQK0L4TbqRWDjC0CVNKmHyK5Ar2lNf5OEUJCILWhwrCzikCSgBGGsAMwuij1KBcSwiUPejMP6Sse54B/hyII0G4Caq471Q5Pk+UwbSoCzG+TtJ7ltsb+d5yGZJycnq5FhgDrCtko045AweZWzDTJD0T+8SanL1/1jtziCockuKV2Q45x1negNf8qRyfnlKO7nXP8iMOaVpr/l5jG6wuyZDdY1A5WGQw4DaM84bGMwWe1u5UZV11sxoXc8rp5PATKbXldR3I7EIBWbOJw4qDN6BnRBWIAWN3aLRWpUIE5dqcbMJQcaiDppdIwKxAMjUjFjSArUPFIcfyKHsKSWfa6S+XABxPLGhkIMmeETqNO0OGnoREIYuyvXmeNYZbRKdg8rtSr9YlcOkiMCMKyzwu7JVoaOXsr2CpPKVvIAFhuNVQdkjIEaUGYw4/dTRZjYT9r1xB0ECWQchsvIXLtvWIoi4nDW0FTZy15rePW27iisrseWs8KkDADMu607buzOHWMH67W4b1gq7huW6qM99D7ILL6LpQbRBlgx0DSDXdml2J3NHv9GBim7FwYL5N5p1SoYzDYEKcjFI8GXy+eEkvzfLjFBwGn+9zpF+3aOnxwRgMQwfxRU8Rc9yQxGKQjluwHAwBT2/J9hGLzw00msOXKFd3k7zWDZn3k4nl+FlQ8OkZVhKPf3JNUYltaUcUjcw+ssNrevIycYhkE9oYDyRf5zeIAWl3nKOmL5hxwExwFTlzoy789uAGqLcL7cijeOB2Av3QMMD2lC5jpTFAU/jYqVXWm20RyFkpwcaleUGcyKnvefbb+AKf2ToGoY9+o0KhZxSJ53fCglxsNeaRzhc6xyN+NQSlkHh9qVVAIqySR1BZlfaXKRkfLlG3p7DvDqukxB0tAVp6/W4K3fzuLtyb35FyAd0ez88ymVisK0/nEs4tAKNfp3CMfEvvF4+/cs2TmT3sJN3WPx8HUdAQBhxLVdVS+soBvfKx79O4Rh6NvbeN9Piw3GocasRQqV4b2BnsMa3/cjmhJMzfy9G6EhrkGrzHk5QwP7Pwcmf9X0mk266VAQVi7HcORSpeLYgUN5zWh5L1aP1TWTCxYfcRgc5/7nRRMkYak8u+12ONDqiMMff/wRdrsdRqMRd955J+f92lpHwfrAgQMYMcLRxfTJJ58gPr6J8CopKUGHDh14P7+42DHRjomJaXwtLi4OJ06cQEmJ8KTRuR5FUYiKcpABnmyzVaC+kk0oUCog0MU7OYAkDj301xeyYjSUtH3i0EIShwI31IhOQHwfNnFYVwLM/C/w7Z1ATQH/egAQngrM/In92QaicBQk4n0t90YrlzisYHcIIjQJCCB+R3MDGWYxAse/Aw4vBUpcRlRBcYCxFKAbBhTaQKD3NGDo40C0SEfNlUOc7kZZqK8S/9t5HvoRE3CzDFLPYuASPgEixWCSXJazDZI4DHS5p6h1cKRxuYxCbCbHoIkc7Kh1DomP629tMQhPRshj7c712tav8eaCWgPwzUnIc7IdrRo0414QvHNy9dD1XVnEIak4HJMejc41aleBByYO7AwkNw2Ka0xWPLj8kCzSUK9R4dN7++OGjJjGwgkfyEIEiYhAkjhkL+8kDuuIXBu5KoXmQEIYe7J0tbqBOKy3wsJjB+sKk0LF4cXSOsxacgAfTe+HCb2lbb9aK8b1jMPrv5x2K3vFiU7RgUiJ9N1k9GBuBcoMyib+G05c9RlxGMJDHGpUlCCB4orrukZhQq94/HpKOvN3dHo0bu3pwUT7Lw6dRoUvZg7At/suYfm+PFwqZ4/nh3WKxGOjO2NUWvNly/gaHSIDoKLQWLSqMdlQUWdBpAiZxIe9F8rwytpTyCvnzu9e/+U0TFYaM4emSH7O76cK8dyP/NZhuWV1GPveDiyZPQg9E0N5l5FCiJCSBEBEoPzv3DVWeBzWKdq3NssAMKRTBP57lH+e2FkhcSlGagxKZc//l/2ZJ0gauuLY5Sr837pMfHB3X8llA2VaxFoJAslTQsmbIAk9hnGMcdwlWgDH97MR1eQAmcdKCUIFFGRk85csBMcBgx8GANTkVeDPo/sEF00M49psksShyWr3mCD++cgVRfaIeeVG7LtYjhFdohr2SQ3XyZjZJk18cIhDhfdTXvDF+Mgs2nOIQxnkTa2ZPV/w06igdZOcJ61HzTa6kVg3EiQm2WToKQqq6vF7pvT4yImfjxbghVsy+Bu3VMS+icS/FFUZkOC6KKXBD48OhVatwoG8Svx6Uv4+eQK9VoX7hqXiH7ekNzrHkMRhtVF8blhrEh7P/57JFp6QalwOaSyDePcJSOJQCU6vBSa8B/g1NG7blOe5NyKIywHIIfJJkNeNEw6lsB0qiuIce7chZokss3nBY+h5HGiCPZgrRxHEYZn8XOh2tMKMQ6ah2GY2m1FWVsb5ZzY7HspWq7XxNavVitTUVGg0jht7bi6/Xy1N07h82dF91KVLl8bXnf/Py8sT3K9Llxw2NomJifD3d1xInmyzVaCWUBsGRjuK1k6QisP6Cseo2F2Q5JoTJPnVFkF2sIjdUMNT2X9X5gFRXYFHdgCp1/Ov0/9+4OHt3HUNBJEkqjiUeaOVSxxWEud8RCeuis5cC1TlA4vHAL89zyYNAYfilXZ5CFrrgCPLgC9GAJkimXhC55IUXBWGditXBec850lSzyJDYUeqDf1CAY3IBIxDTspQ5HGIQ5dCFkVxVYfODidScajxc5C0rrDUCV+LpBo2oZ+4mpIPXW9Wtvy1CnKC4gR5TrajVcNfq1bWuU2AIs4D14zD358eiWUPDIaWIa5rojvwp8NXOIpAIZhsNI7lV4qShgCXCCRBTrq5xKFjIsrtqG89xCFZ2CqqNsFOM6gyWqQVhwqJQ8CR5/PsD8dxoUSZ/XNrQqCfBjNkEARimDU0xaeq05Ja5ZN+udePOwjmIQ7DAnSyjgFFUXhvWh/cJkE2j82Iwecz+kte19c6NGoV5ozsiO1/H42fHxuGj6b3xecz+mP786Ox+pGhfynSEHAUxUnrQ6UK+W3ninHf0oO8pCEAGMx2/N+6THy8NZv3fSd2ZJXgiVVHRYvaxTVmzPj6AC6WunePDPWS4lCMnOsU5dsxms1Oo0akCWjJnoswKGjcEHqWB+rU6Bbf5HBhs9NYvPsi77J8WH+8QFAV6YogETLXFRzikChAu0tqeANqFcUhZ5T8BnwwEk1VahXlE1Wl0PjUHUtKV4gpWQGuowPAp0yjWUQioJwgzryq3OUms6Cp/kFuj9wfPpCNSVLHQhZUPNcpOX8XgD+RTShH9UU29Xmi9OYjMJzHsY64TrxNjq87VqBIzWWx0fjfyav8b5LzcgHFIQDklbAb0v10usZ71CwPx8hykBYbhDfu6IEDL9+IV8Z3Y90fw/zZ13aVRFOp2H28oo49/4wLIYlDIt+ygTRudniSxWe3OGqYrn+7ASs0QPp4zutKXRkAIIpYJ7/CiLd/O4tB/96C7vM2IePVjRi1cDs+236B8xsphpjisNmIQ55mMU+IQ1KUUp3vnovaNYpWRxwuWLAAWVlZgv8mTZoEABg5cmTja0OGDIFWq0W/fv0AAPv37+f97FOnTsFgcEw6Bg4c2Pj64MGDAQBnzpxBTQ3/QGPv3r2sZQF4tM1WgVqi64VUpJEKIbuF325ULoTk4aTdZlsER3EoMqjjIw4BRzdKnIBnc997uQpQhuFRHIoQh2LvuUIOcViW7VAQuiI8lUtu1FcAKyYpl4LbLcDPDwEXd/K/H6iQtGrcHxfikFQbqrRNv5s7ikPyPJbaRz837FA51rREMYvsrLIJEIdqHfcctRiFicNKIv9H4wf0v096f52g1MCA++Uvfy1DiDhsVxy2KVAUhcn9kxSv12jLRRQLNGgqWnSNabh3kNYnRHfg6oPybZoA4IdD+bBLzLSllIERpFUpUXRoVBxybIpajwFGVJAfq1BntTMoM5hRZbTC4gPiEHCoDJb92bZD2p+7KQ3XdXXv2dwnKRT3DOZ37fAW3Mkq9POhmoUvT0dJs4Feq8Yn9/TDqoeG4NaecY2FGj+NCjd2i8E3DwzC17MHtqprq7VDpaIwICUCd/ZNxPhe8V6z4G2NIL/b0j25yJNJHlbUWfDU6uMcZRQf3t98Hgcu8jvW2GkG/1ybKavAW11vxVsu2bNKIGZVSqrkxdA5OghCFHxnHyoO7TSDJ1cfE7XT/fHwFUz/ah9qTeLFYIZhsGhHDh5byZ97bLUzLNvZXdmlKKyW33RBM8Caw/mSywUJEAUkYWMjrUpbkeIQ4No4ekwcWkkllvctHAFhZWFEoGd24VES9px8OYF8lpae/s42BWpDJ1xJavLZL4c4bD6rUhElkAv0Gi4hKwUDoTLzRD2rVas4kQdO8pJUTnnbjvdKpfIG8/xKAaKMVH3SwgRsfim7juzvEmM1pGMEJvvIwcKJJ2/oitnDUxHKM5YkX6syihNLV6vk3/elFIeAvGvI6/BEcUjCTcXhL/ahOFvL3Y9hnSN5GwjFcEuPplr9+uMFGPveTny56yLKDE2/5eUKI97ZlIUb3tshOPaSBTHStbmsSsEzOORTIcqFfzi3Ht6uOpSNVkcceoLx4x1s/s8//4yKCq4H8BdffAEAGDVqFJKSmgp6gwYNQnR0NGw2G5YuXcpZLzMzE3v27AEATJ8+3SvbbBXgkE4EcajRcXO16j3wVhZUHP4FiEPShlWp4tCJihz+dWp5uqDqK9l2CZRK3BpTqEODJCrEiMPS8w5L1U8HAhd3sN87s4G7/0WZQLl4t7EgGDuw+VV+lWuHYeLfVQgs4pAn39A5OVOScWgoAbb9G1g1jf26sQw4/4ewSpfchiyrUkLVGEgQh+RkwmlRapNDHBqEr8WqS9zXRjwFRHQW318nxrwMhCRIL9cOEcVhe8ZhW8OsoSnQKFT6mJ1FI47i0DHh0qioRtsZziTGpTvQaqeRrVDBVmawSFo5SlmVhhNFpwBieWeXMZlxKKVkbE6oVBTiCbvSgqp6h1UpIzzJszBq0B4Mq9ceK2i5HBAvQKdR4evZA/HgyI6S54krBqSEY9kDg71nryOA3kmhUFp/7dfBgwmqBPhUJEoteymKwvAuUVg0cwDOvjkO5+ffinP/GoevZw/C6PSYVpMb2o7WhfXHC3DkEnsM/FtmEUa/uwP3LzuIS+XiBOKaw/mKCJJlf+bxvr7tXIksdZoTW8+VIL9CeUFYTHEYIbPr32yzY+Em4SbI+b+ekZ0lrBSLdlzgWMPxIbOgBv9cmym6zNu/n8N/Np4TLOJa7DQeXH4IGxu2d75YucpTzthDiCgg7R0tdrZSxdqKFIcAlwAllVRKYTRz8599AaFrwlPFYaBOLfj8jwrS8T7n+SwtLYQ1qFLVJR9BKYX40KY5tB9nn2RYlRp8QBx6YFWqJ8YTcqxKyfu6J4pDwBGD4AoneclRHHp5DuDO2EcltI4Cq9Ir5ewaWoB/03lIURQWTOmNST4kD/smC49ZyQxxqefVVQXPZlJxKEYaNyvUHlyDKq0jhskJIvbHJDIfdCKfjsYC673Yl8Ml8AJ0Gtw1IFn27oQHaHF7H0ctbcuZYjzzw3FRO+YqoxUPfHMIZ9xQXwMQJw5lqp7dRnkOsHQccGEL9739nwF/vArY3XzWcnIO24lDufhLEYdTp05FSkoKqqurMWfOHJw75xjgV1dXY968edi2bRs0Gg2eeOIJ1npqtRrPPPMMAODLL7/EV1991WiJum/fPjz22GNgGAajR49Gnz59vLLNVgEpxSHAk3PoAXEomHHYxq1KGYarxHRHcQg4bpR8qOHxRCdJnoAofksLwCG1P7uB/70QgtAWIg4LTwBLbuQShk7UlwOHvma/Vinf3kZwmwU8XbFavTLFmxNWY5NKhyQOXc91uYrDgqPA58OAXQsBE6FgNFUDq+4CNjzN353G2YYcO1RS1Uh4pnMUhw2DPjJ7UcNHHIpYlRqKASsxgPQPB+5bD8R0F9/nUS8A1z0vvkw7miB0DbcrDlsNaJrByStV2JhZhG3nilEk0I2fGhWI+RMFVOQCaCzmCViVsoouJHHoMsiXUg4KQUpBIjW5J9UbZLeys8uYk2/iYXHC20gIZTdhFFTWS1qVmuBZkchosSsqordG+GnUePW27tj/yljMn9gTD4xIxf3DU/HAiFTc2jOu0ZJWo6IwrFMkPp/RHz88MlSR6sddJEcE4HqFlpO+UEEyDIOvduVg1pIDnPdOXqnGrCUH3CJHKIqCTqNqJwvbIYqvduXg6e+PCxJ/O7JKMenzvcguFh6T/nxUOu/OFZvPFvPmKW09q2z+xzAOa1Ol8NSq1GKj8dDyw1j2Zx5f/zsA4JcThbj7y32SuVFKYbbZBYlXPvzv5FXB58jO86X4apf0vIxmgOd+PI4yg9mtvGZaxvhDSMnER7a4jkvIQqkvVeFyEKT3ruKwjpP95puGGiF1u1sZhy6gKApRwfyfER/Kr5QjyUQzX8ahwt95Yl9l5Iy/Vo2bejQpUUiiktwfPpCNd75THMq0KiUzDmVkqpGEnsfEIY+aFOBRHHp5DpARp7zZtmtMILZnlWDRjhx8tv0C1h0rcBwPkrwVsCq12mkUVrLrgcH+bPJFp1Hh/Wl9sPrhoRjfq8kpQqdW4fq0aHx2b3+OHaVcRAbqkBQurEYlmwKqjFZR+1AlxGEsn5JYgDRuVniiOOx+J6B3iWAi5txvWWegiCHc+VyQSafibsurKEWYYEPJ02O7yspHpijg7cm9odeqYbPTmLc+U1Z6mNFid9upQdSq1A3FIU0zqKhzNCiLKsLLLgBLbgYuC2Tl0jZg78fAz3N466t2msGWM8X459pT+Nuqo3hl7Sn8fqqwSVEencFeQakr3jWM1lWp8RA6nQ4ff/wxZs+ejbNnz+LOO+9EcHAw6urqQNOOk+X1119H377c0O4pU6bg+PHjWLNmDd577z18/PHH0Gq1MBodk/e0tDS8++67Xt1mi6OWmLAJEYeuaiOjB5JnIZvTtq44tFsc6jhXiCkOw4hCVH2Fg2TSBrJJRFfwKQ5JEknIivTKEeC7qcJq0Spim+YagKYBlcsD31oPrL5Xfv6hEzYv5APl7QKSBnBfH/kccH4TNzdRCqYqQBvHrzh0gpNxyEMcVl4CVk6RVuEeXe4YeNw8n/26O1alnIxDwhaO7A5yHn+OVakflzi0GsWvxap8rjd4WLIjm3P1dCBnG/vz+94DDHoIiOsl/Jnt4IJvkqjSetduox1uwWan8d2By1i+Nw8XXSzdVBRwQ0YsnhjTGf06sCcR0wd3QKCfBvPWZ6KSp6AYqFOzCkWNHZkUv1VpY2c2befJLm26/vVaNaKC/CQVhK7QaVSSRVQpRRRZdOJmHDYUDcykTVHrURwC3Byegqp6h1Up3/XZACvlh7AALcL8tRiTEYMV+y7JsvJzhZyCa1tAqL8WM3nyXBiGgdlGQ6dWtUju3lNju2JPdpms32Vy/0R0Esk0cwcMw2De+tNYsZ9Hxd+A3dllmPT5Xvw0dxhS/8JWme1ofuzNKcNbv0kXSSrqLHj428PY/Nz1vIquywqJbTvN4Gp1PccqrVLCKo0PVW4QcyEidmBymhY+2HKeZd8phHNFtXhl3Sl8dm9/Rfsnhm1nS1CuIKuIZhz5xk/f2JXznhI7bKPFjh8P56NDhPICoZx1hCzaYnjIFqudbjwPycxDrbplGyVIRSCZEacUHDcGL2e/OUHmUTe+7kE2txPRQX7Ir+CSDglh/IVokvw12Ty3Ku2THIZ+HcJw7HKV9MIApg5IQoiLfThpbe6OVanvMg7lWZWSxKEcxRdHcajQSpEESRzWCxCH3ibI7+yTiLd+OyubrNJrVXj3j/McW+YgPw3WhpnAupvS/CRQdrHBoUZ0+SoB/txznqIoDOsciWGdIxvHxH4uTV9RQTrct/Sg5DnXJykUJ6401eX6JIeJNo6Rz0EbzaDOYhckh68QxGFGXDDOFfE3FMXzEId+WoH5bXOCrIuptKKK0SZQwNDH2S8RNc1MpiNGmT/EeNUBTFHvQhJVChoqZDHJ+N4+BrvpXmAaNFphPPdbo8WGI5crMG1AEhZuyhK0bFerKHw0vS/G9XTU6bedK8FVBfbhey6UIafUIJrRzAuNyH1GQcZhcY0JK/dfwveH8hvvkcF+Gkzsl4jZw1PQJcalHsowwJrZDtc2KZxZDxxcDAyd2/jS1rPFmLf+NKd5atWBy4gN8cO823pgQhRRy2y3KpWNv5TiEAAyMjKwYcMGzJgxA4mJiTCZTAgKCsKoUaOwfPly3HXXXbzrURSF+fPn44MPPsDgwYOh1+thtVqRmpqKuXPnYvXq1QgO5u9ecXebLQ4DYXvCRxz6E4pDkmxRgr+q4pAkRCmVeJFfF8C1ha285AhoFXqYyVEcBsVwl6kuECcNecE4yENXZP4M1CjrMPYahNR++hCH4i1pMP/7gGPAQHphO1Wz5DFxJQ7lqAF3vSP/uO77jB2wDPCTk7TEANdAEIfkb84hDhsGFrKtSkWuRT67UsBxrpPbHb8QuP2jdtLQHfBZlbarDVscZpsdj644gtd+Oc0iDQFHoW7L2WLc9cU+rD3GvU/e3icBX8xiNz8E6tR4Z2pvfHRPP2I7TsUhexLtVBw2FjP4shaI63Byf2Ud17f1jpe0ixTLSwvQqTnrc4lDx4SbzDhUatHoayQSBa7sYgNsNCOqOIwMC8HxeTdjxz/G4LXbeyguuGpUlFv2Wm0JFEVBr1W3CGkIAP07hOODu/tKFptHpUXjrUnef36tO14gSho6UWYwY+7KI38ZIrkdrQOLZajNnMgrN+KP0/xjQkFLNxGQtmWAeyoTd9bhy3sCHCoPKUWN0WLDShnXrBO/nSp0SzEshJxS5VahfOuUG8zYeb6UZ2lh/PdoAcZmxIoqNvkwZYB0NIvQ7xgZpOOcK1Zb032QLKYrtbD0Nsjzx2D2THFKNlX5KqPWV1algDBhJldxaLLSHIWfO8rS96f1ldUYkBEXjH+MY9vXkUSlHMWhTzIOPbAqJcfV7liVeqoEJC1fmxSHvrXkDQ3QYsYQbvOaEExWmjfL1WC2IbeCaMAUIA5PXqmCBuxjTPH9fq7vN4yJXQm/IZ0iserhIaIZy9enRSOZmGOI2ZQCgEatQjDxe4rZlZKKw4kCFqsU+Js/OYpDGXa/XgdZj03oJ06IOXHrf7iiBWLebYYWFmixjh6JWdZXMMbyAcZa3sPj1mewi+7TSBqqKGBMepPbSWWdBW9sOI0h/96KOd8cxoKNwqQh4GjEua13U9zP9ixlz3HA4SShGGKKQ5nE4Z7sMox9byc+2XaBdX+sNduwYv8l3PzBLjy/5gR+O1XocG/K3QkUi9uts7D/88ba6frjBXjo28OCjgvFNWY8seootpQR3Ea74lA22hxxuGDBAmRlZWHJkiWCy8TExDTahGZmZuLQoUNYvHgxhg4dKvn548ePx4oVK3D48GFkZmZi06ZNePbZZxEUJF649WSbLYZagjgkySzAu1alQopDUjnX1sDJNwyEZJAOaVdadUk43xDg2soCPBmVPIrDfZ+6l0tJKguPrlD+Gd6Cv7ANAIJigDmb2B7kABCWAoydBzxziput5yS/FSkOiXO3vgo49ZP0vjvB0MCRb9ivkdsApFWHHMUhYbtGEnhOW1aOMknHtToRsyoFhNWwfO+R53c75IOPOGzPN2xxvLb+NLaeE39W2WgGz685iYO53HtuWS37GuyVFIq7BiazOpwBl45M4jzQUDQApklxSKq5VRpAzV5n5pAURd349w9PlVxGLLuOz+KKLHoJWZX6KsfHXSQSdj+nrzqeiWYxow6iC1xO8dQV43rGIVjvebd/O8Rxe58E/DR3OG7pEQuSy0iNDMBrt3fHktkDvZ65yDAMFu+Sr/g5V1SLP3NkdN22ox0yUFxjwg6FxNH3hy7zvp4Wq2xMoteqeC3UhneO4llaHMO7KM83J5+zTkQE6iStff/P/yAIAAAgAElEQVQ4XYxak3z7SYZxEG7eghtOobx2qoXVJsWfVVBZD3+dGjOGyLdsvq5rlKzzQ4iQCAvQccYtruozq539JbQtbFVKfg+Dh4pDsqnKd1alAorDQM/HIFEChFliGH/Bnqvu47EqVSs/Dh2jArFm7jB0+3/2zjs8iuvs4me2qRckEJKQACE6CNERGDAGbONugw3GBttg47gkjmPHcUnixJ+T2HFiJ3FvuBfccC9xDNimi95776h3aev3x2jRzHvvnbJaSQvM73nyxNqd2R12Z2fuvec9581IFG5zXq8OmHdrAXONoEKlnvvL4/MzqSJtHVUa7WAdh1rRlAAvqrR55x97DMEeh7RdQfjP8/sn9TYdT8/DA3JsgqjSDYcrGOGQ+/0ZYEiXFCy451y8OXs4pg3NRpdUtVAjSXK0vZJ8HeEQYItoygWuf58/wLThWH+I794NABjzxI/47xb1ujIbQRwBUaWuWGDWN7KAyCOpM3D1a8CIX7DPkXl3A4x9t+N7d0RWO/n7O1ZRh6ueX4rXl+5HlSC+lM5L9hXX4GRV03dRGUIv5VD20RRYDRQvbDxcjpvfXKUZ3+0PAB+vOYw73l2Lc/6+EMvnP2vuGMsPAAeX4VBpLe77aKOhMc5DS8g5X7a/ab3UQpPTTji0CCNUODTkOGyJHoenuXDoJv8uI5VgvD6HJRqVwJWcqFJGOCSDI08dsO5d/WPhQYXDUG3cUhguMT0v1H4+4GPP5dnfAWPulYVFkWvWjHDo96gHDIdXN/UPNMq+n9R/22zGIlGVMD0OqXBIexwKhENeVKm7RieqlL+AhEBAdswqSTZe5WdB4MXSWI7DNuVgSS0+WH1If0PIk62nF+xiHj9Wob5eBHvo0cUJt6DHIQDYEGiaiNGeo5wBfufUWMM9Fu+f1BsDsvQnnVrOQF5lt8hx2FpxXKFCo0p3n5SvzZ6AhnBICjemDcs2FcE665wc4wdo0Szys5Px0syhWPHgBLx+0zC8NHMIPr/zHCy8dxxmnZPDjWdsLluOVmLrsUr9DRV8sMrYdcfCQo+9RTWmhaO9RfyCz+nDs029zpUDO3GdU5cOyECyiWjEoV3aoXe6WAQQIXJXGXEj7SsWFL1qsL/E/D4iQokr7prKzkN5jk89HI0C3q8n9sDIbvqCbVa7GDx5Tb6h1xYJEskxTub6q4wndRPXSps7DqNpVGnzehzSPnQtVVQlFA7D4DjsIHIcCqJKoxlXGus4NBtVGiS3Qzy+uWs03pszAlMGZ2F4TgpGdkvFTaO64ru7x+D1WcO5LssoInroOQ5LqtXz7BinPTwR/M2IKo12qT8zf4DtEUphokqb3eOQ7zpj5gAtIJC7HDa8euNQ3DW+O/c+E+eyG3JTe2nBICcdrM7tw5oDpRzhMPTPz2aTcG7PDvj71QPw1FR1y6ulu4uZyPD8rCTd16Sfg6gnb1FVgyrS3yYB320+zt0WkJ2Lt72zBt9tbjI60N9QRESVet1Ap8Fym520vurn7E7g1+uB/lP4r0Uch15J/1qZHOvE7y/pI2/v8+PmN1Zjf4l2IoE/wPpPVu5tWn9PjDF/TomiwTXRdBzqj0v++vU2QxHPQXz+AByVxtMdTlG2H++sPKB7bQty0p+AWrtiHBnwAyW7zb/vWYglHJ6tBALGhMOwOg4FF8qaIm5z09MGD5kgGrFv84RDPcchnfEzsZXEcVi0A2gw2ZMwCNPLMMS4rFBKZZV0Gwe0Z/t0qCjdq46NiEoEEjKa/o4hi+FBwZCey0rh0BHFDvaUkak0ytUIvMhVKhyKYlkBebBDvxcqHNLJRFDspO4ku5MVDhsqWUejElFUaU2x+jcg2VkHqIVxuI5DSzhsS95fddDUpWzJ7mLsJ4uNtHIzGEnJVGQKokoBwAFf0/Y0qlQwwJ82rDOemT5I2LswIdqBv17VH7ePy+U+T9Ga3PN65sRG8R2HTLWxM7Ich1Q4DE6gtaJK6fW3fXwU/nPtIDgMLNjeP6k3hnTRcNdbtAhpidE4r3caLuyXjvzs5BaNUA1FTAinAGFxdhMIYRwvcqdcnt8JmQZjlZ12CbNH84siop123D+pt+HXeeAiY9tSYl12rnCWGt98kYRHOK8iE/uYjwq9muN275Iaq5kYwCPo1Ipy2PH6rGGYPryzMMVgXK8OmH/7KKQlGjsvRIJYu1gXIwZ6NByHoQpK4YIKK80VDmtauPdbEF7fT5fDFlIkKEXkOKTjqiDUcVjvaX6PQyWSJGFUbns8OTUfH/5iJN6/tQB/vryfZhECPQcbdGIWmf6GCfpuZkNwo0qNFRO47DbGvVTvNiccNjeqlHWdNc4BGOGwZeYATrsN91zQCysenIAROeo1zcvzMzWjOoN46XK5Ys1yzYFS3PneWvT/03fYeaKaFQ7t4fl3DcxOVhW60OtgTvs4QzHDyTHqbcoF/34a92gkNT8QAH770UZU1suvyYrG5hyH9R4fPllzGLNeL8QlTy/G5OeX4v++3HqqkNMQooJ6QBaMlPg82uuWZC3tT1cN1rynpidG452bmyJnf9h2wnDxID2M5XtLTv33Od3NJzWM7mF+n+Y4DneeqMJKTvqSHv4QpKmAZMMna8y005KwzUvS6Ky4UkNYwuHZSn054FNeACUgjtMjL5ZUGDbLcShYAAn4gdoS/nOnA4zj0MCAjus41BAOvfWsQ04vqpQ6UsxABaqUbiG+UABI6xfarlGJwKTH9bejF/sOvdSlOjTq1IjjUJI4bkBFn0MqqBuBF7kaReJ8eL0Ug1BRzxnLOtGYAVLjOcBElXIch2UH2EEUfZ77+H7130lZ/ImOhTF4n53lOGxT1h/kx7No7kMiXWjvjIxkvuNQFFUKyH0Om6JKiXBIqyoVXJafiWUPjse/pw3EFQMzMa5XB1w6IAN/n5KHlQ9NMNUHRGuSlMKp6I0l2wf79zBV9ZHmOBT04nGbEA4BYGLfjnhz9nAmZihISpwLf5+SZ1i4tTi7kMIqQViczXRJNe9cE+0T47Lj1RuH6Vax220Snpo6UDO6cvrwzvgd6S9GiXLY8Ox1gzG0awhjb8jCAU98M+I4zE0zP/7q1sH8Zy0ixmXHzALj9+gL+nbkfm+xLoewR5WI64Y3RZRGO+14bHIelj4wHg9c1BtXDeqEy/Mzced5ufjhnnPxxqzhhkVDgHXqBUmO1XMcRlaPQyqAmom15VHb0PJOrEXbT+Kq55cyj7u9flz6zBKsOVDG2cs4qQIXsWhcxXMcUqeKmdj9cEB78+k5Z4qq1WNykevSNNyoUmP9xSRJYsbsWn0OdxyvwpJd6nj00hq3brypFrz+lQDbyzMs7kyd4+iXqXbkHRb0QqN4adKIz4NAIICnvt+BKS8sx9cbjyGo41Hh8Hh1eIwRdpuEsRrij1Y/RCVsVClfOKT9DY1S3eDF/EYRhxeVa5Qfd5zE6L8vxL0fbcCiHUXYcrQSaw+W47Wl+zDxqZ9w97x1xl7PTtfFFGvf9RwRTyv5i8y7z+uXjZ9+N44bwXxhv45YcO+56N+p6Zx7d6UgucsAKxTC4QV9003FIA/rGlpSQ3N6HC7eFVqbhZ1+88aD+nY9UVzNj9wVscOXoX6gaIfp9z0biawSb4vWg7oN4zrwq2Ko2NEcgU/kOARkESyeI1yeDjA9DkN0HGqJNoDsOoxNkctQDiwDjq1XP08jOZvzeVLhcOD1wJE1ob3WlFeBz+8Ajq4zvk9cGjB9HpDWR39berHvQBYgjAqHVAyMSpAF9iBKN2D2CCA6Wf28Hr0msY9RQchtQjiM4wwgmUiGxgGSkajSUtp7SYLKaSqKKrX6G4YXruMwfItQFubRqzQ2sg+NKs1oXGATLk5wYp7t8DdNxGgev4ZwCMgV3VcO6mR64ZBi3nFIhEOPvCjWWtXGoRLjsiMlzoXSGvW1U9NxKKjOPKd7eyy6dxx+3lWEH7adQFmtB/EuB0bmpuKivHSm2t7izCS3Q9sKEBZnN52SY3BO91Qs3W18Hjd1mHgRp29mIqYMzsIby/Zzn8/PTsb9k3oZ6mN4x7juKOiWiteX7sd3m4+dclMkRDkwZUgWbhrVNaTITiWJ0Q7mem5EOLygb0ckxzqFC6wUu00y3d9Wj7sm9MDGIxX4WadHZfe0ePx9ygDh87eMycH8tYcNxYfltI/DRXlsElFaQjRuO7f5hS6iCMR2cS44HaTHobdpLkKdaC0RK20GWvQUdsdhMx1flPlrD+PejzYIjTVbjlZi+isr8MoNQ0PqD/fR6kN47Bu+e+Pueevw18l5zL2QTd7g9DhsZWcpFaT1okqp4zAs/Q0BgePQmHAIyGNZ5TnFEw4raj2496P1+GEb267kreUHsP5QOZ6ZPiik4hNWFBY4DsN8nvOgxSO0gFGEl/Y49Hswd8k+PL2QjTekwuEPO0ow7HgVeqWb6wtMOVpeh8L9YvPGwu0n8a//7cTdE3toOl2TyWdQXscXXEIVDgHgiw1HcdM5OcLvXo9FO07iljdXw6dhc/xs/VGU1Lgx98Zh2tcGLcchr1jfXc0mlQGyy9RPru2OaKTFRnPTDDqnxDJu3U1HQkyBgxwbv6+oGjkd4uFy2PDHS/virvf111VdDhseutjAWmoj249XYuPhCri9fvRqqMMw4QtrXwtC6qkIYJ7vPMx0/GB8h/QBkDIGAvivqffZHSBjtC3z5b6XPS4Im0v4TMT6ZM5WmJjSjvztzESVeuplEcHvBRIz2X1FPQ6B07vPoZs4KUPqcchxeyV2AiqPNP1deUx+ry9/DZzcyr7mJ7OB8/8PGHyD/HdKN9ntd3KL/vFQaBTngKnAj49pR1mKcEQBs78HVr4E/O8P6uc69gOKdqrz4ofNASY8DEQbrI5hHIckyigUxyGg3X/QGQMMmgEsN9jE1xENDJrJPm4mqpQRDjnCMCMcNg6QjESVlhHhsENvoGhb0991pfIgi7oky/er/25n9TdsFrx+Fq7mTTgsmkdagvEqetE+rOOwMapUVJEpSbKIrJio2OFXRJWSSZ1WZWAY0exxyInJodX4wSrj2gh3HALyQjtdaG6Ahpta4zuw2SSM65WGcb1O0wIpi2bTJyMRA7KSsPGw8cWDacPM9ZKzsNDiltHdDAuHGUnRuKh/BvP4yap6fLr2CHafrMK3m9XJJ2N7tMeYHh1Q0C0VeQb6LSkZ3LkdBnduh5qGPByvrIddkpCRHB22wgqe41AU4a0k2mnHjSO74j+c3sU8Ls/PRIbAWRUqLocNr94wFI9/ux3vFR445doJYpOAi/My8Jcr+2vG1eV2iMfT0wfhV++t0+wH1DExCnNvHNqiRS2iCET9HodtKyhRmKhSd3N7HJKoyDA6sXafrMLvPt6oG73v9vrxy3fXYtF949DehHPu2YW78M/vdwqfX7GvFJOfX4Z5txacisEFBD0OyfkZZW/dMSJb1KctelDHS9iEQ26PQ+PCIS8GVkllvQfTXl6O7cfFhcsbD1dgygvLMf/2UegsSM8QwToOBXOAVigeTCK94WwGo2RpVGl9QwOeXMQ/z52S+t9V57Phn9/vwCs3DDVxpGoqaj2Y8epKHC2v19zuPwt2weWw4c7zugu3MdrjsDnC4YlKec2JnnsNHv2ClTq3D/d8sF5TNAyyeFcx3l5xADcLotABsOtiwUJ6v59frC9ah6PraADgiEIgEMDxSvZ7UfY8La9148PVh4SftVHOe/In5HaIw3UjumDq0Cz85cr++ONnm4Uh9LEuO56/fjAGddZvg7Fox0k8vWAX1ikSlvpLe/EV7zJmc+gmi5mNVw+yJZCDxb7+GGPfbGyH0Xcj2uVAdkoMDpUaO2dzpSOY5vxZ/WDJbmDedCAxCxj/B2DgdJNHfnZgRZWerTDCITs5BMC62HhRpaV7gW/uA/7RHXh+BPDiOcAT3YD3pgF7FjVtRwU2JaezcMg4Dg1UZMV3VNvn/R4goBhsuOKBDNJgft+PwBuX8kVDQBbCvvgVsPhJ+W9JAkbcqn8sPKjjMCoBmPq2scEqFeAaqgCHC8gmdSsdegO3LwM6F6gf73aucdEQ4DgOjQqHGj0OAdYNSAcTY+41HuF6/qP8eNMo8u80E1VK+xsC7AAp6EoyElVK4xlSctj34MWVWo7D8MJzHFpRpW3KpfmC+6OAlDgXRuY2xXx7fX6cJNXIwYVFujjh9QfgDS6YkHPBAV/T9iYdh+FCK6qU6zgki17BRbVasjhmtvdSa5CZzH6mHhpZpESrH4SFBYA5Y4zHvvfvlIiR3VL1N7SwMMh5vdPwS41FxSAJUQ68NHOIatG31u3F/R9vxKjHFuKxb7fjozVHmH5Yf7i0L+aM7WZaNFQSF+VAbod4dG0fF1bhKpEbVWpscf9X47tjYh9Bga2CAVlJePTK/qaPzQguhw0PX9YXKx+ciEcu74frR3TG9OHZ+N2kXlhy/3g8e91gQz2uLuyXjvdvLcCoXPba4rLbcNWgTvjsznPQLQSHtBlEjsPkWBecNq0eh5HlOKSRq9UNzYsmpI7DmDAKKq8v3X+qX7MeVQ1ezCs0Hq23eFeRpmgYpKLOgzlvrVYJwPR3XtPgZcTN1haIo5rpODQjuGrSjKhSgC32o47DJ77brikaBimubsBvP95g+H2DMMJh4+dIhUOaTtIS0JjOGJedEdJ4eInPZtvhUmHkqwPqe6IXdizYdqJZQtzLi/dgb7Gxftf/+t9OHK8QC4xU0BE56Y/oiJRaBFtwsD0O9a+NX2w4gjITAttby/fDr3VNEzkORZGkosdpexCbA7DZUVHn4V4bihuLTlftL8V5//wRf/tmewhdpln2FNXg0a+2YtK/F2N4Toqw3+GEPmn44Z5zDRWrvrV8P2a9vkolGgJAPQTjCQPr3GNDcKsH+bXnl9jlN5CONPo3QP8pAIBrh3XW2Vimr7Qf811/Qi8I2i9VHgY+uw1Y/JTRwz2rsITDs5VqIhzS/nhBGMchcWnt/B544Ryg8GVSuREAdn4HvH0l8P0f5HhNTcfhCfFzkU4ojkObTduZldKNFXMLXyF9KQUs+D9gf2PvgoEzgNzx+vtQqHAIAF1GArO+ATIG8veJ7whc8Zzc405J8CZcQ/Kug/0zGWefscERAMDnBYpJFbDhqFISM0pFcq0eh4D827jhCyCtr/j4JJssGooEXCaqVMNxSMX1eJ5wKBggMVGlLv0bf3wakEzOUV5cKRUTLeGwefAmifRctGhVLuibjnQTvXuuHZatmiwXV7tV1ZNRDhvaNU5WeQujpyqtJfVzasdh2wiHDrtN2FOIF/tG44eCiwWs4zDyAjAyOX0rtHscts53YHH6cll+JuaM0aiObiQjKRovXD9EM3LKwiIU7r2gJx69sr/QbdcxMQof3T4SA7Ka4rrq3D7MnFuID1Yf0hQe7np/HSpCjKhqSWrdXu4CaWW9sWN12G14YcZg3HleLhI49yqXw4bpwzvj/TkFQkEsXCTFOnHjqK7461V5eGzyANwxrjv3XqXFkC7t8N6cAvxwz7n421V5+MMlffDkNflY9uB4/GvawLA7JnmIhUMnE1UajK4FIs9xSMcuzY0qpUVV4XIcur1+fLbuiP6GCj5cfdjwtq8spu0uxBwuq8N3W5rWoajAUMX5Xba6cMjEp4qFw+3HK5negEnRoTluGLhRpcYjQ2lRXr1i7F1R58HHa4x/x4X7SrHlqLm4RVGqCv2dtI7jUP1ZVjd4cf0IfcHBQ6JKj5SKhVY71OeJF3b4A8DyPaG1emrw+jCv8JDh7b3+AN7XEPyTY9T3/ZaIKh3QWDjERBAbcBx+seGoqfc6UFKLDYc12gYx62KN66iiQn3R49Rx2Djn5rkNAaCkugFbj1bixtcKTQmhRjlSXofrXlkhjD8d26ODoXHBkl3FePhzfjKdUDg0sM7dPS2eW5xkhFIkYor7T5jnHQePxDmG5C7A5c8CE/986qFrh2Xruhyj4MbLrqeQJGnoEUEWPALs/cncgZ8FWMLh2UoVEepEjsNY8qN3VwHexpvM0XXAhzO1BUEAWPYMsPTfgEfjJnRGOQ4NVoJpCSypuUAi+U7oQrEWK56X/9/uAKa9C/S9QrytzQn0vkz9GE84BOT859nfsY9f9TLwmy1yfCeNVQzehGl/zOC5xTj79CvfTlF+QC2mOuNkm7kSnnDo87BxrGYdhwCQnA3c+hOQO1H9uDMOKLgDuHMVcM5d4uNnokrD7DgURpW69Cce8R1Zcbvcchy2OJbjMOJwOWx4amo+nHb9Rfz+nRKZmJijtL9hUvQpQcBuk5jXPRVDRs4FO/ynKjmZ+4Gz9dxuorjSdhy3QyyZONa6fQgEAsyigVbvxLaC1/Bes8dhK34HFqcvD13cB49e0Y8bZSZJwPl9O2L+HaOQnWIuEszCwgiSJGFmQRcse3A8np4+CCNy1EVzvdIT0TtdnYbx+LfbsOYAKRzlsP14FR7+3GDEVCuxcPsJjHp8IXeB7fFvt2PW64WGBESn3Yb7LuyNFQ9NwD+uHoBfjO2GOWNy8OgV/bDywQl4bHJeRBbAaNE9LR7XjeiMW8Z0w5QhWeFzSRkg1mUHrYtIiHLAabdpR5XSCMsIiyqtrm+ecFhV3zK9305W1TNuRj0OltY2JWBocKyiTrf/JuXDVU1iCBUYKslnYLdJ3D5iLQk9r3iuogMlNbj25eWY9O/F2F2kXiP4+3fb8ezCXdpuKCPw5oQmxppUOFQ65b7fcpyJPdbj8/XmhB1eDC3AcRy2whyACgsVdR7cNaGHbrID7XHo8/LFNgBwkh6H3oC8L3XnG2XT4QqU1Ijfj8eiHeI1Veq6FBX60HmrGa4vkNeORDG1Wmi5JUUEo1G5MOtiOsKhUcdhoyApeu+Sajce+XILc56Hk+Jqt/D7M1rA9ewicQR7Q0DkODQ2N/n9JX1CThOqRDwe8N6KYXXP4AHPHKzN+QUw/o/AjE+Au9YBg9Xtn1Ljo/DSzCGa73eRrRBZUrHweYblz4V07Gcyp9cI1yJ8VB1T/y3qceiMlSM1leJMXZm8/YJHjYtZPz0hi2EiTmvHIREOjVaCaQksKblAQmbIh4Qd38j9KGNT5MqQqW8BR9YAq18DDiyXxc7Y9kDfy+WeiHsWAtu/bNpfJBwCrMjrSgDypzX9LRLcao06DjVcdxSmv2FP2c2phBEOy1m3oY3T88/ocTlc8v+UTPobMOQm4WGfgvYLNCUccuIHqOPllOOQDCB4UaWU+DTWqUjdhV63ug8nACR31X5dC22sHocRyaju7fH6TcPx63nrhJO4/p0S8e7NBcziIZ0IpSepf6dRDjs8vqZJ5aleKuRcsEu+pokYLcShVZUtSKzLzp2U8B2HZMLtD8Dt83MWDSJvOMqr1tQUDq2oUgsDSJKEmSO74trhnfHD1hPYcLgCbq8fHROjcHFehiUYWrQKUQ47Ls/PRHa7GFz1/LJTj288XI5AIHCquKWizmPKefTVxmN44KLereJa02PRjpOY89YazX5Ji3YU4Ya5hXh/ToFmD98gcVEOXDPU6j3aHDw+P77ZdAwSoIpv8/j9WLKrWFM49HgjK6qUOqVCFQg2H6nAa0v3Mc6191ceQLf2cejfKfT435Zmn8EYRdE+1JVGHYeilIuWhDocqeNwT1E1pr64XDgfqPf68c/vd+JQaR0en5IXenoAIxxKphJGojWiSvV65vE4YtKJJu5x2PrFgzzhMMphx+uzhuHPX2zBh6sPgXeryEiOBxRLQHEO8f2ERpUG3YpGIlF5iKJEQ90n2UBUaU0D69B32SW4ffoi+Oju7TG0i7zuRltxGIkqdYUQT65ZPELnxr4GOQWPmgeCGO1x2PgbPCFwHBZXNwjdiK2BEeFwb1E1VuzltCBrpDmOQwDol5mE568bhFlvrja0PY9yJGCe7zzM2wY82rMfZnbvKty2oFsqPrptJKa8sIzrEL85bglg5ue063u5tVtCuvkDP0OJvJUai9aBCnUix6EkyeKTUmisLZFFlD0LjL+fp5btq6ik5nR2HJIBc7gch825UAX8cqykMmq20xD5fzyiyYRESzhk+mMS0ZkRwxpvzrXk5hTXmMvN9NozMQFhhMPe7DY8x2FdGbsNHdSbETRphGeysaztZkWVxnFyzUWOQxpxa3fpx1/Gd2SiEpl/Z8Uh+VwL4krg93K0MI7lOIxYRvdoj6UPjMfvP92ET9aykU9je3RgqjkBNvIlkyyoRjttqFb8RBsEjkMHfE0LLEz1Yys6DgUVfe3i2H+7y26D3SapFm5rG3xtUm1sFp7jsAEak38rqtTCBE67DRflZeCiPHM9VC0swkmfjEQ4bNKpCNLyWg8Oldahc6o8l/lm0zFhPycePn8An607itvHaRSLtgL1Hh9+++EGTdEwyPpD5Xjp5z24e2LPVjiys5uS6gbMfnM1Nhxi4+XqPX7MmLuScWNrOQ7bOqo0gfQ4rHGbFw7fLzyI33+6iStaLN9bisufXYJHr+yP60dotDjRIS0hGnEuuynXYeeUWDhaQbSjAkNlnfozbIvvmIoRDQrRw+8P4I531hpygn2w+hCGdG2HqaEWG9BiUlcsu16hQbSD7/gDwEQCG8GsiEsdh8HPsaah9dsV0D63QXEl2mnH41MGoGv7ODz+rXpd6eFL+2KKbyuwqOmxzskuQLCk6eBElbrsNowW9KLTg/ZQNbSPxmdJ++DyBKZjxG2YGufC36cMwJ3vrdWM7M3rlIRnrxt0SiRnY2r13a35WUnYdkwg6gnYcrQCQ7q2QyIvHtjOKar1NoiFQ7OOQ4FD0mgv2ZbCiHC45aj25yyc72qscwcCAazcV4q3VxzATzuKQi6k4fHXb7bhsvxMzV7OKXEu4TnaL7rInHCIAFC61xIOFVhRpWcr1HEYr/GjoL3f6kqBA8v422qh5aY6naNKGcdhGITD5joOAbm/nlEY4VAjL5z2x6Sis0hwE/U4ZLc3fyMAACAASURBVIRGM47DHeq/aX9DgBUO3VWsUM0Tu4xElQJy5RJ14tHegCJEsa486OcXz3EcirLcuVGlOuepkahSXkyp1ZOpefCEQ6vHYcQQ7bQjT1D5vVTQw8KI41BJvchxCH/TJJyJKm090cpMVKkkSYwoWOvxsX18IjDijes4DGgInJbj0MLC4jQj2mlH7wz1WFTZM2h/iXk30YEQ9gk3X208Ziri7d2VB1UClUX4qff4cNPrq7iioZKiKvWcxa3R49BIhHxLwutxGAgYXzT+75bjeHA+XzQM4g8Av/90M77bfEy8kQ4uhw1XDe5kap9pw4yJXTntjffc4+1Dx8A0OrgthEP6nsrzbvHuYuw4YbytytzF+0ydEwDkVJEl/wIKX1U/7q4FvvoNW8grgI7XlUUgfTMS6ea6mN2HdRz64fMHmGKUtnAcur1+VXwmr8gkLTFKbvujoFtKlLCfmoNElfpgxyUDMpAaYgz0gKwkbl9dLc7pLo5epc5HnuPwCHGiZibHYGLfjvjk9lGY1C+diQ3ukBCFuyb0wAe/KFCJOozj0EAB0nUGek5S/vn9Tox6bCE+X8/p4Wp3AiD3CG99CFGlAsdhVfhchb3TE9CzY3jWe4w4Vb1+7fGOGw74A5z7q0A4rPf4cNe89bj25RX4euMxrmiY3S4Gj0/ur9uPkP/6ft2erKv2ix2UOv9cCwNYwuHZSCDA6XGoIRxSUaW21FycZBC/RtXB6RxVyvQ4DENUKa/HoRnsLlb00SKKDAQ1HYfku4rXcxwGo0ppj8Og45AKjSZ6HBpxHLri5ChSJaWkiTsVF7nHJTjn68rIMUtAUhZ/WyU1xawAv+0rOVObOiIBVuzkRZXShevmRpVSAbTsgHz9OPX3fvXzZs45Cz52zmDKchxGFLTiPcimw+X86k0SV5LBCIekIlejx2FTVGnbOQ55E/yEaIcwMoxGeVXUeuAhkTeR6DhMjXOxi0eW49DCwuIMY0BWsurvjQrh0BZCMVjIsXxh5OuN5npxFVU1YNU+8aKTRfOZV3iQ22tSD2U8aaQ5DuNIHLvHF9B05Sjx+wP42zfbDL/XY99ub1bPvJtG5cBhsFdgQpTDsHCYkRSDMT3MOaquGdo0T6autMq6to8qpWKm8jv9aPUhurkmO05UmTvva0uBNy4Bfvgz0ED3C8htZ14aCxzWjwCkCSH1CsfpmB4duMkaIlwOG6YMMbC+oYB1nfm4DvbWaFcQ5bAz55pyzlbGKTRxe/3MGpIDXjxyeT/uezgk9VpnVFQU7r0gdCd7rMth+jPXciZTwabO42MEvSNlJCUnWZ7b9O+UhBdnDsGyB8bjpZlD8J9rB+K9W0Zg6f3jcc/5PZnvMBTH4YCsZEzozVnf0qG6wYtfz1uPz9YR8VDiRPv63GLhUBhVynccHq/Q6K9okmFdU7gtP0KBXkN56MfJS/y4Us76YSAQwL0fbsCXG7THXYfK6rBwexGWPzAes8/pqnuMlAXbtI1Gq/eLe3HXJ5pdo5SAdjkm9zmzsYTDs5H6CsCrvClIfPdSECbqsbTJLWaGgMYNo66MreY4XaDRmkYdhyJXWlSS/PlGJRoXISn9rmJdhFqYiSplHIdEdBb17WOEw0ZBOtSoUr8fKNqpfoznOJQk9hwu3aP+myccGnVCUhdeYqZ+v7HdC4CnBwHbPlc/7q4C/vsQ8PRguRdlEL+fdRzGdWBfl76vRyOqVO/ciu/YKIAqJpnuKrWoSf/tWmK4hTGsHocRD614D+IPAIWchcdjJKqUDtajRA3kybnggE/sOGzFHocxnAm+1mSHioLF1errkU3S6VHRRthsEjKJyGv1OLSwsDjTyM9SzwE2HG6aA3TvYL5wqXta2xc7nawyP6csqj5N56GnAYFAAO+sNOaSoqh6HJKio7YQlZREOeyM67HGYDzb4t3FOFBSq79hIwdKarF4d7H+hgK6p8XjiasH6AbDuBw2PHf9YLQ34ZK6dWw3w9tmtYvBRf2biqOpK43GqbbF+JCeV0rh0Mx3Znofvx/48AbgyBrt7erKgHevASo4LisF9LNVinZ2m4Rfju9u7LgAXDe8s2lhg+c6o4kj0U4b42JrKXh9DoOUcVxasnBIxv0+L64c1AmPT84DPWwaVXrD6B7Iate8vtW3j8tl4ptFzDqnK7pqOICjnXbm90RFJqa9BhGXOyZG48J+6bhiYCeM6t5eWLxBz70GAz0OAeBf1w7EoM7J+htyeHD+JlYAZtK4QnAc+uhrynPDk2F0HJ7TvT3G9uSs7YWAkajSYV1TdAsH6nnFshzH4Y87i/D1JmOO+O+3nsCyPSXIzzb/HZfVaqdIaDkOD3WdYu7NepzfPBPPGUjkrdRYtDzU3Rebyne5KJ9XUlsK5I6XxQczUOGQ9k+rKTL3epEC4zg0MEAIBIDdP/BjCSUAh1bKglcoFyzJDhTcYW4fRjisFHu69RyHIgdhLRW+GqsTQ40qrTioFsAd0WIxlhEO95LnOVGlRh2HZvsbHlwBvH+tOF8dkMX5d6YAxzY2/l0GBBQDLsnOFztFPQ695EZrdwEOF+vEDBKVBDhj5MFWIonMVYqFvKhSi+Zh9TiMeETCIQAs5Szq6EeVChYotByHTFRpa/Y4ZIeOvJjSILGkIp/GkMW5HBHhUOHRqZ36c3VrCYet+B1YWFhYhAvqONx8pOJUbNtFeelMHzctXA4brhpkLhKxJQhFbIjEApYzhSPlddh9MoS0IjQJhz5/gIkTbGvHIcD2FKP920Ss2MuPt9diuSAS3yiTB2fhtRuHoVsHvrjQv1Mi3p9TYHoBe0yPDrj3fH1nVVKMEy/PHKr63vR+d23S45Dpzdc07g9F4zI8xN33I7B/sbFt60qBFc9rbqIVVQoA1w7Lxpwx+q6aiX3S8NDFfYwdlwJeVGkt7W/YCm7DINrCIStKeHx+Jqo0mKB27fDOGNpFvX7khFoUTU8O0QCgoGNiNN65eQSTVkOZNjQbf7ikr+7rMXGlOsKhGVeqEuruNOI4BIDEaCeevCY/pPes8/jw0RriCOa18Qmb41AsHAadmkZIT4zGxD5pmDY0OyzFMEaEQ7tNwg0jtV14fMchu879zvID7HYavLXigGYvThFaY9GKWo9mhPSu1IlAogn37sg7zRzaWUHbj7YsWh/a35D2qKNQR9j+xbLw0G+y8feM5URYJJGJ5ena55DpcagzSAgEgG9+C3x0Iz++tb4CeG0SsGou+93oLkxKwGX/ATIH6h62iqhEqDPAA+LIUF3HoaA3YC2pAgkK0oxAZ8Bx6K4B1r2rfqx9D75bCzAgHHKqXph/h+DzYIRDjZtwIAB8dQ9bucTDUwN8+zv5v6moHtcesHEu3zQqL+jiZSqlGgcConNV6UCmQuiWT5ucjJZwGH6sHocRT4NGH6R5qw7iljdX48NVh1Dn9sHnD+AEEcpo9SadXJ1aoJBYx+Gp+CSPemLHFA20ILxIIU3HoVO9PXUcinomRgKZSZZwaGFhcWbTIy1edR+qdfuwp0geu8e6HLqLS0quGZIVtrit5jCoM6e4TgNJYgVUi/BhZCFTRLDHIa8HpSgivTWhfQ55vZ14VNcb206JUTejFuf1TsOCe87Fe7eMwB3jcjGzoAt+Nb475t8xCl/+cjSGdDH32wnyqwk98MTVA5CeyB+PFnRLwSe3j0LfTHV7FCouUdpEOCQxi8qCwdwQHNW5Rp3bq18z98Lr3mFbFyjgRYUqkSQJD13cB09NzUciZ1E+IykaD1zUGy/OGBLS98AIh14faojjkBYXtiSMcFirLRw2cKJK4Zf38fr82HJUndA1KocU4osKtE3SKz0B3/56DO67sJdKyJMkYHzvNLwxaxgen5JnyLmZHKO+P9N+eEd0HIdGCdVxCPCLcI3y5Qayzs0TDusFxfuitU+aimePgtfnZ+azSkbltjccDf37S/rAYbchNT4Kd5/fw9A+WpTXGevvPHt0jmbMdH2AM5YjiWUenx8/7TRn/lmyqwj9MhNNX1NG5YqPdc3BUmi1ki1pkIDp78nmCD3G/xHoNs7UsZ0NtF6Jh0XkwPQ37MjfztsALPg/oPBl9eN7FgJP9QH6Xy2LRlXH+fufQgIm/hn44pdNDzliZFFMKbqcrsKhhwhdeo7DxU8Cq17V3gYB4Ot7gK5j1A+PuA1Y/x6/J2RaX/lz7nmhzmtzsNlk8VCZpV9fwY87Nd3jsEoe1FLH3inhkEaVavQ4rCsDfvqHPFCmuf81JcCxDUAGp0qJCoclVDhsRo/DMlJlo+U4PLgcOLlF/Dxv++Ob5apCJbz+hgDHcdg4+GOiShsHUa54oL4cDMHvdONHwAlyvEv/I3/+Q2+2hMOWwHIcRjwNGlWT9R4/fth2Aj9sO4G/fbsNv72gp6pC3uWwoR2p9qQLFE1RpepzwQa/IqqU36i9NeAJfWYch3SiRRfdIgkaD+QJaEWVWj0OLSwsTj8cdhv6ZyZh9YGmKPoNh8rRs6M8nr97Yk/sOF6FH3T6y4zIScEfL9V3PLQG143ojLlL9ulv2MiE3mkhL5Ba6JMYHfoCelAwpL0DJQmGF2ZbEuqcMCoctgtBYKfjx1CRJAmjurfHqO7mehPqMXVoNiYP6oQF209izYEy1Ll9aB8fhYvy0k9dTyi6wmEbiMN0QVspekwbmo35a7UjQpXkZyWhT0ai/oYAcKjQ8OsCkOfwxTuBjAHcp2NcbFQoRZIkTB6cha82HMXCHU0CwJwxObh/Um84mvH5RztY11mtOzIdh1RAAxp7qtJUNp+83dZjlapY3ViXHYn0J62V6GaS5FgX7jyvO+4Yl4uTVQ2o9/iQGh9l2rmVFCv+DADgaEW4hEP9c0/E/3TGGlow8aHM2liDOPXLhOOwpMYNrZazMU47np4+CHd/sF6YVGSTgEeu6I/L8pvSvW4/Nxd1bh+eWbhb/OI61Hv8aPD6mPUFitNuwys3DMUNcwtRyIn5bOA5DkmRbE2DF16TvXf9AcBus+GyAZn4ZO1hQ/vYbRKmD+evse44XoUPVmn3ni2r9chrxDd/L6+xH1jKbpSQCYz/AzDoekPHdLYRuas1Fi2HnmMMkC+q714D7PuJ/xruamDtG0CnobIIWCaYnDligCueBTIHqR93xbJ9FXli2OmAGcdhfSWw+Cnjr120Xf23z8MKkwOuBYbcBHQuMJGFwSE6iRUOeeidP7Qfm7ua7W/ojGu68YgcipSq48Cbl8kDZO7zR4G5FwBT32LFUyoMUrE3lhNVarjHIXEcttOozN7xrfg5Edu+ZMU9Uf9K3uAI4EeVAtqOwwWPAov/yX++tgT4+Qn28aRs/vYWxuE6Dq0eh5GEW8NxqKS81oM/fKYW3jOSoplYTnFUKXUcKqNKieOQuo1bkBjOIk9KnHhyTHsc0qhS+nwkEAgE8OJPe/EaWXh28/o9BLEchxYWFqcpA7KSVcLhx2sOI6d9HIZ0aQen3YYXZgzBzLkrsWIvu7gU57Jj+vDO+O2FvXRFgNYit0M8rhrUCZ+u01/gd9ol/HJ886v8LcRktYtBt/Zx2FtssI+9Ak/jmIg6Dp12W0TEnNPiJ6OuwPP7dMTTC3aZeq/z+3LWbCIMh92GC/ul48J+xo6VCgyUtnEcknG5omBweE4KBmYnY/0hTuEth1vH5hp/Yw33oBAqaiig4/U6t1i8OUpiF8f1SmuWaAhwXGceH/P7aM3UkUQN4bCU9saDoMdhY1rYSnIvHNKlHWwB8vmKkrCagSRJ6Chw9RohmXwG5Qqnpc8fYOI3zURuKmGLYrXnzscq6vDhqsPYcKgMi3eF3r6KEcvsYehxyAiH0ZoxpQBQUtOAi/My0CcjETe+VoiDpU3rxQ67hMmDOuGmUTmMA1uSJNx7QS9M6NMRzy/aje+3hrY+XlHnQVqC/vkX7bQjKyUGhfvZ54xElca47JAkaLr9eMRF2XH3xB5YsP0EV7Sn3H5urqrVSyAQwBcbjmLukn3YeJhds06Jc6l+06fO87TewKxvgAPLgdcnNe0gScCvNwKO8In9ZxqWcHg2Qh2C8ZyB3Q9/FouGSo6sBobNkW3gy59VP9d5JHDNG7KwdHyT+jlnHOuaCqfj0F0LbJkPbJ4vC5KOKFnkHDoLSDOf0a6JmR6Hmz5kRSstaETliS2sSDvpMb7wZZboJEB53eUJhz4Pe0xGHIdUOFT2zWSERs7n4/cB708Xi4ZBvPXAhzcCv/gZ6KDotaD3+XAdh9QJKRIOTTgOqXPQCEv/zQ5YDi4DvvgVcMFf1CKiqMehMKpUcK7WV4hFQxEJma0qXpyRBAJADYnnsDubVxBgEXa0ehzqwetRwfYA4TsO7ZKvaVu6uOBoPdGKJ/RpVc7TaNPiajd5PjIWmoMEAgE88uVWvLFsP/OcR2vYbDkOLSwsTkPcXj+OEZfByn2luPrF5eieFo87xuVi8uAsOEhE/qjcVFw5qBMuzssIqV9NS/PY5DwUVzdg8S5x7JnLbsO/pg3EwGwrprQlkSQJ1xd0waNfbTW9b1AwpGOvqAiIKQVCjyrNy0pCfnYyNhgUoPKzk5GXZSBm7TRDzxXTFsIhfU9lwaAkSXhhxmBc8+JyHC6ro7uquH1cLi4ZoNMSSEl8BzZRSY84cT9KOr+gPQ6VHNPpxx4KvPlNWzoOaUxnUDj0+QOorGfFC49PQzjcp17TGZGTAhwkrxGmqNJwQnscKsXTVftL4PEpUnLsNrSPI8KbQYw6Dus9Pvz5iy34aM1hpodtKAzqTO7lTFSplnAoWKNlUn6icKJSWzgMznVz2schMUZ9Dr1w/WDdIpCB2cm4dWy3kIXDyjoP0hL0f8OBQEA4RjISVRrlsGNol3ZYtb+M3VbAoM7JiHU5EJviwJuzhmP2G6tQwhHug8ws6IJ7FD10A4EAHv58C95eIe6tSAsBmMKAToPVfwcCQMAHaBUIn+VExojLonWhwiF1jNWVA6tfN/56694BUjnVVGl9ml6bceXFsoJTuByHO78H/t0f+PxOYM8C4MRm4MgaoPAl4PkC4OPZ7PE0B3qTEYkxAHBwZfPeizbMTukWHtEQYF1sPOGQiruOaHY/noOwltyQ4pTCoQGBbvcPwNG17OM8vHXA8mfUj/F6GKqeNxBVynMcBgLmehyG4hzjVRIG/MDat4DXL5HjW4PQhWuPQDhURpXyOLbB/HFaMaXN48ha4JXzgA3vqR/3eYD/DJSLICyE1Ht8WH+oHMt2F2P78Ur4wzD5ENE84ZAV+Iw7Dn2KqFJ+o/bWgNdTSCuqNM6lHVXK65nYlny3+ThXNAT0ehzqxJRbWFhYRBj1Hh9mv7EK327mt53YfbIa93y4AX/5eitWkSirhy7ug6lDsyNSNATkRevXbhqGhy/ti66p6uuz3Sbh4rx0fHL7KHML+xYhc93wzuidbn4eJOpx6GwDQYlHDFkg31skKDTl8Jcr+nNTHCjRThsevaKf6WM7HdB1HLaBQMw6DtWiR0ZSDObfMQqX5PEX/zOTovHY5DzcP6m3uTfue6W57TMGas6/WeGQP3+pdXuZyEra4zsUGPHI62cch61ZPCiKKq2o83AdU24vP6rU7w8w98PhOamnRMVThDGqNFwkx7I9DhftOImrX1iGa19Wr1P6AgG8umQvt7+sHozjkNPj0O3145Y3V2PeqkNhEQ0B4PoRZB2Oro353GLhUPQ4x3FIhUNaGFyimOseIQUGOe010ukUNCfBwYiLDwC2H69ikoCC1PNENM4694wC432wAWCG4jvKz07Gd3ePxV0TejCidqzLjrdmD8ejV/aHTRFL/tLPezVFQx7M52F3ARL5fKkZyEJFZI70LVoWPeFw8ydsDJoW3jpgL8edqLz48voA0qjSmjA4Dnf+V3am0agAJZs/kV0913/c5LxqDozjUONmYOZz5UEHJJ2GNu/1lDDCISf/m8aUxndk3VBMb8AqoJY47ZSOQyo0emplh6Fy0dyMkA3Ivfku/FuT+5EnDCrhPU+dk+4qWShU/ntritXfv2QHEjuJ3ydnLLDyBe1jMcOJTbLzcNo78t+8BtDK/w+iF1VKhV4jWMJh6OxfCrwzRXx9qDgIfDxLPt9G3Nq6xxbhHK+ox8s/78XHaw6hsr7p+tg1NRYzCrpgRkGXsEenVXGqUo1ixHF4qpcKdRzCj+jgRIxOYlohJrPe48Nzi3Zz+0Y9t2g3kmKcuDiPXYCNYRyHtMdhZDkOtfpiaToOLce1hYXFacYjX27Fkt36Y75XF6uvi4nRDuN9u9oQp92G2aNzcNOorth0pAInKuvhctjQNzPRUDW+RfiIaVwEnPXGKmw5KugxBaB7Whx2n2xaN/AKHIdtISgpKa9146n/7cQC0o/rXz/swtI9Jbh7Yg+MytXuIZiXlYQ3Zg3Dbe+skXswcUiOdeLFGUMwIOvMdMVGR6DjkIoevBYFaQnR+NPl/fD1pqa1EZsEvDRjCM7rHWLM55Cb5KQhut4jYvgczVQaKkqLXF/UbZgc6wxLhCgjXLp9jOuxNfucJxHnV2WjcMiLKQWCUaVqMcPjceODwoMqodXlsCE/O4n93njtR9oYKp4u31OMZxfx++n5/AH87ZvtWLanBC/NHKLrDlbCxtSyv6GXftpjaPxhlNHd22NYV7Kmx3UcCu4/wqhSnuNQ/VjfjETV7yjooKt1e5lru9G+kd3T4pEQ7UBVvcHrgQJaCCDi553qJLk+GYnYdkz+fLhRpZwi2YvzMvDW8gNYc0DfdZifnazq6QgAHRKicM/5PTF5UCeM++ePpx6XAIztqXZU17q9eE5wvmpRVkt+45Ikr4MqzwV3TfgMOWcgkVGqZdG6MD3qyEJfsbm8fQBABaexqVJ44vUBZByHzRQO3TXAp7/QFg2D7PsJKHy5ee8HAD4v6+bSchzSeNbmkjUsfK9lxHFYRVyhvP6YUWQhoaGKjV+MVUykeEIrdXEeW89uo4W3DihSxJrqCoecmwQVQAN+drGeug0TOwF2jUFizwvD3wdw25dAyR75v6l4oBdVGk6HzP7FwL7F+ttZqKmvAD6YYayo4Nvfye5pCwDA5iMVuOTpxXht6T6VaAgA+0tq8Zevt+H6V1caHjwbxWgMFQ+ecEgrm0/1geAJh6eiSsn50sIxmTUNXsycuxLPLNzNxAwBwOGyOtzx7lo8u5AdP1DHIY0jiXFGzsR6f3GNqs8XxQ8bvAHB0LkV42ItLCwsmsuJynp8uPpQSPsWdEuF3Xb6xKjbbBLys5NxQb90jOuVZomGbURaYjTm3zEKT0wZgLxOTfNOmwSc27MDXr1hKK4cqC7APBVVyjgO2+78O1lVj8kvLMNbyw/Ay3HKFO4rxYxXV+KTNZz1EcKIbqn48b7zcM2QLNXjsS47/nhpX/z02/NQ0C1VsPfpj80maYrAbSEQU7GywetHgGNJo1GlWe1icX6/9NB7AyZnAxf81di2PS4E8qdrbkLFP6FwWE7dU+EZz1JRuN7rY+ZQreo4FMR0llNRoRE3J6p048ES/OGzzarH0hOjIUGSU4KUnAbC4ZqD+lHJP+4owp+/MBczrRdV6vb68ZZJ15gW+dnJeO66wWzfW15RvdBxaLzHIXUc9iO9CstrPfD4/DhKflvtYp2Gk3ainXZcMyS0dUOttY/qBi/eXnEAM+euZPrsXjogA50ahU1+j0N23dbnD+CRy/uhXay2w3ZAVhJeu3GosBiExiPXuNmeqF9tPBaSkFrGKw5gUu/M92A+m7CEw7ONQIDT47Aj3cj86/LiFJUKPq8PYLijSjd9rI5t1KPwJcAfeuQcAH6/Qq3Fw75XmHt9yQG53kJA1hBzr6eFoahSHbcqwDoI/V6g8oj6MaXj0GZjxUNa8UMrfYygFMtCcRw6XE3OvCB0QEH7G7bTserb7MAFj2pvEwrrBI5DX4N8jgujSo1FJRii4hDw1hXAhnnhe82zgfXvm+h9GQCWP9+ih3O6cLKyHje9XqiZiQ8Aaw6U4c5313In/KHCWyQySjovqtRJFyiCjkP1ZNquiiql1Y8tuwj64PxNhvoX/PP7nfh20zHVY3Thgn4VkeQ4VDavF+EW9T+wHIcWFhanER+tDj0ebGTumStkWLQsUQ47pg7Lxpe/Go3Nj1yIwocmYOv/TcKbs4djYt+OnP5y8jkaKY7DQCCA295eg71F2ouM/gDwu082Yr2BHoZJMU5GHDyne3vcPDqHETvORGgBnZK2cRyq3zMQ4I/9qXCYnRIGwa3gNuCif7BrEEryrgGmvsXMEyg8xx+Po6THLa/IMRTo/CYQACqI+6p1HYfq31J5o7gicvu6vQGmINwOVrQ4WFqLG15bCT8VDiMyqjS0Y/pg1UGmF7IWTH9Lcv1euqdYGJEponNKDHiXg99M7IF5cwr410ozwqGvgRV/AcBLC/CjcZwIh7lp8cy1qqzGjaPl6s/MqNswyJyxObqCHA9RVOnn649g5N8W4I+fbcbiXcWoIdeEbUcr0LcxTYLf47Dp+LccrcB9H21A/iPf49Jnlgh/R73TE/CXK/vjo9tGIjVe3Fol2mlnfqMnyTli5H7Kg3ts1EDBW9e3OIUlHJ5tNFSxIh4V8FK6mX9d3uCmnlh/lThj5AbQSprrONz8sbntyw8Cc88HdnzLrmQahTopnbGyECYiZyzQwUTeff+r2EjXIPYooGOe8dfSIxTHYTxHOHREsc2gy/ar/44jCw68vohKtOI/RSQqnLRawqHNKRbQeLGrSqhwmNxZ/7j6XQVc8iQghfHyW9zoruSJB74GTlRp4/cj6nEYKgGf3Fv0sOWKM0xQ9DXK1s/5McJnGXOX7jvVeFyPJbuLsWxPSdje264RC6QHN6rUwY9z8ZPsfQf8TTEx1KHagqLV/uIafLHhqOHtn1m4WyXU6i0KRFKPQ5uB79YDwUKN5Ti0sLA4jdCKi9RDL4LRwsII8VEOpCVGqxaZaR9ljyCqlNdv9kZFTQAAIABJREFUuTVYtqcEaw24dADZifHij3sMbVvjVgsSNK3hTCZKo6VAWwiHPFG6gdPf/HCZeh0oKzlMST4jbgV+swUY/0e5j2FSNtC+FzBkFnDbEmDKq4bG/TSqlMaEBmEdh2ESDh02JkmVFnxGQo9DJsawEbfPj/1l6uec4H+GK/aW4ng5Wb+i62ERQHJMaG2a/AFgXqHxhAIqvru9fvgV4jvt+2eErHaxWPbABGYefn1BF3G0Ll0b89SJhUOA/xzjOIzCSRJV2jExGu3j1J9tcXXzhcOMpBi8dtMwXcG3Q4L6vXmOw4/XHMav561HlUZy0lebjp8qouVHlcprpm8t349Ln1mCj9Yc5l4bAeDBi3qj8KEJ+PbXYzCjoIuhqNu0BLWweJIItLzIWyPUeXys45qmBNJ1fQsVlnB4tuBtADZ8ALxxqfpxRxRQQqLF+l/d5Egygj2KL8xoOQ5dcWxsp7u6eRZh6qQ0wpHVwPvXyhGnvAoTPXhOSi0kCbjiOWMLjIlZwPmPslGyQTIGhKdHY5CQHIfUrdoI7Q9IhcNYIhwyVnEy8Mq7mv8+IrKGq3vuaQmHsSni/gB6giaNKk022Bx42C3ArT8C+dc1ukoV8GJT9Qgu0tscrCDprWfP7WD1FS9WV7IBUUns40bxe+X+DBbGKDW2oHAKv4cfDX0W4fb68eEqc/Fq73DiUHadqMKjX23FzLkrcf2rK/Dg/I1Yvb9U153oaYbjkBtVKnAc+skQzQ5f00TMQycxLSdazTP5WW89VolNR5ruH3qLApG0ONY9LV6rXQwAgePQ7tIuGrKwsLCIMEJ1z0sANhwykfBiYWECkXDo8anPVy2XWkvyXuFB/Y0U/G/bCZys4iQzEWoa1Iuasa3oxGpraKyhkrZwlvLiUxs4otuhUhpVGsaxeHwaMPa3wC9+An6zGfhlIXDZv4F040XjenGRQY5XNk/cECFJEvM7pf0EI0I4FPY49OGT9eqieYdAOASA+npSqK3jCG0LQnUcAlDN7fSgjkNALb47Qog6t9skpCVGM5GWxys0rq/UcVhXCs10PV6fQ06PQ+o47JgYzbjpSmoaGOGwUwi/rUGd2+GrX43GzIIuzJy5c0osfn9xH0wbqjYvUOHwZFU9fv/pJkPvt+OELJ428Oa7rlh8vv4IHv58i67v5h//3YF9xTVsfKwGaYlEOCSOQ/q8GRgXJk28o+v6FiqsVY6zgYrDwMvnAZ/eChzfoH7O2wC8MAr48fEm8SEuFRionZmuIn8aX/DTiyp1RrNiVXNch/TGYIaNH8j9w8xC/91a/Q2DZA0FZn6q3e8wrR8w62vZNZcoEA47DTV+nEZghENONaURxyHACm7UmccIh9TZR27ag2byeyGKGPEL9d9awqHWcy4igNLjKgvBcRgkIx+46gVg8kvqx6kT1wgpOfL/SxIrIHjqZdehEq2o0tj2wLDZ5o9Byfavm+8gbiMCgQCOltdhy9EKHCipUVXHWcjV04u2n8Q9H6zHda+swE2vF+Kp/+3EkXLzlYOhsre4WhiHIULZt66i1oNb3lyF8//1M+Yu2YfFu4qxdHcJ3i88hKtfXI4rnluKAyXiIhbe4oERXA4bUuLYYg9RA3kfcbZF2QOwBSdanOrHlmLrMfOuFKWTRc9RKKwSbQPSk6Ixrqf2NdgNzr+H9pe1sLCwiHBCWcAC5CW3332yCW8t3x/Ow7GwAMAKRU09DtVjr7ZyHG4z6dT1+QPYeVzQO0tBLXEcxp9VwmFkOQ5570t7bAIcx2E4okrDCNvjkO/WoX3YwuU4BNjvlnUctt55nih0HPLnlDUNPizZq14P0xIOGTdiBEaVUvHUDB7Ob0CE025j+iArheveGYl0F136NO7TkYhHmsIhNcPUFGm/CW9Nm8y5PZKTEeY6JkYhNV49xy+pduMI+W1lJof228pqF4tHr+yPwt9PxMe3jcRbs4fj67tG48ffjsOcsd3Qnrx3JTm+eYWHhM5AEQ0cx6HHHoO/fbPN0P5ef8DwtkFo/2kqHF46QLAubgBatMA6Dq2oUi0s4fBMp65c7jt2cov2dj8+Biz5V9PfF/wV6GSgf17mYODCx/giU0NVkxhJrb/BHyrT57AZYkPm4ND3BYDVrwEnzV3cWEHUoLjVZSRw90bZfdhltBxBkdwF6HkRMP0D4LbF8t/r3gEOLOO/Rl0p4A9tAZtLNLmBc6NK1b2rxI5DndeKJRFH1KFInX1xqcAVz0Kz32OQvKlA/yns8UiCSYmWcGjWcajX45BHUPQL4qkD4kyKhwOvb/pvJsu9jtPjUCOqNKEjcO79QHaBuWNQEvABJ3SuORGGx+fHvMKDuOTpJRj1+EJc8vQSnPuPHzHmiUV4/sfdqKwPwZFshPY9zG1vdwHJoTXKbi7rD5Vj4lM/YdYbqzB/3REs21OCH3cU4ekFuzDm7wvx4PxNTf35WpBaQY8OLYJ9PSrrPbj2lRX4YZv4XrPxcAWmvLAcB0v4lWe8xQMjZCRFc6vuaDVufeNnSIXDaLtCxKbCYQsKV94Q/r3KfXQdhxG2OPaLc3M1XYeeAOd4rZhSCwuL04yrBoXQBkDBI19uxd4ifUHEwsIMTof6Buz2BlT/H6StBCWP3/yYyMg+1SQ+rjWdWG1NpPU4BNhj4kXk0bjF7HZhiioNE7yoUl6qCu1dRx1dzYG2YyitUQsBrdnnnIpmbq8f9R4fygVRpWW1bjT41eeBlnDokMhzkRhV2gzHYcdEc+dFNP0NKYSr/Kwk9E5PoLtoMm2YvP6RkaSecx2rNOE41BMO6VofwDgOKzzqczYh2oFYlwOpcer3Kq5mHYfNdfPGRTkwtGsKxvbsgH6ZSacKiml/x3IiHH5pouVIkCiwv4slu8txotJ4b8oNhyuw8bDxvoRMVClx6/fLTMLQLhprtxowv3Mm8c4SDrWwhMMznWVPAyW7jW276K9AZeNFJSoeuOELYNAM/k1PsgEDZwA3filvW8e5IAT8TQ4tnsDm98nRikp++jtwjLgijTJ0Vmj7KVk119z2oTgOgzhj5M931tdyBMXdG4Hr5gG9Jsmf77f3y/3ieAIeILskP54N+MQ51aYwFFVq0HGo1ztPN6qUc+HuP1luBC6K8pTsQMEdwJUvsNGjkgTEJPP304oG1epxGAgAFSTCz4zjMAjt31h1HBg2x/j+ueOBjn2b/qZZ7rwBkEPDcRjfUT43Z3wiN183Itby8IfpvGwFquo9mDl3JR6Yv4lxVx0pr8MT3+3A5c8sEQpJzWLQTHPb97uKFdpbgbUHyzD95RXYV8wfVPkDwPuFB3Hb22tCEprM0EGjsbaIYCXeE99txzYDDrri6gb89mP+vYj22RnZLQVGElfSBRMumvnf5DhUD9Gi7QH5er/1C/aeSt3PYSSUSY5yH73Fr0hbHCvoloqHL+0rfJ7vOGy5HpMWFhYWLUF+djIGdxaMjQ3g8wfwNicG3MKiOQh7HJKxZVsJSplJ5sdERty9tSSq1HIcykSKcEjPP78/gMPlNKo0soRD+rn6/AEm8hdgexyGco6Lj0H9OZbVqAWN1nQcRjnszPFU1HlYJ1IjDV4/PGTMz4iDyueoqEjXOSOA+CgH4wQ0yhUDM01tT88/peNQkiTceV53w691Uf905HaQ1+XYqFKN1CO6LlZTrP1Gbv0eh2Vu9TkUFFSp66+kxo2jFS0TA0wRxfAGodGqWqShDC85n8Kt9q+Y54b970rcbP8GmnGvhKW7Swxv24EIh0UckfLxKQMMOWfpvYNxFltRpaawhMMzGW8DsPYt49v7vcCaN5v+joqXHXH3bAVyxqq3HTIbuPK5JkcWz3EIAPWNC7RUCKqvAJ4dBpzcqn58zwLgpbHAO1OA2lLjxw4AmYOAXheb24ey90dz25vtcWiUwleAwpf0t9v6mSz4hgM94dDvYx2hCQajSilxxHGoJdAp6Xu5fD5mDVM/3uMC4O5NwKTHALtgkCZyFmpGlZIbilKEqz6hHkjYnOJ+lFrEdVAPLH1uYPANQI8L9fdtlwNc+aL6MbqA3cARSeyNAxteA+jgORwVLzdfv2ud3G/TLEkh7NMG+P0B3PneOqzYq3292V9SixteW4mqcDsPB0wz7jCVbEDB7eF9fwN4fH786r11qDMQ0bloRxHeWLa/RY8nq10M+mWaiziZ1D8DFXUefLzGeH/Iwn2l2HKULaCgwuGjV+Zhyf3j8fT0QZg+XOwGPVRai7UH2b5QdBIbrMikjsMc6TjwzCDgQ47Y/NoFwLzrm+65YcSsK6V9vAujezRd4/Ucha25aGCUWefk4MUZg9E9jb2X0UUEAJbj0MLC4rTkqakDkcqJ0DbKZ+uO6PYFtrAwg7DHIRl7tVVUqdkxUb/MRPTgjCUo1W7qOIy8sVFLEWk9DgF20Zk6DouqG1TzAaddYtwybU2Uw8bUUtO5XFW9B1XE7RpWxyERj6izNq6Vz3OewML0PmtEAlvEycSRKmCEQ9GaVBsiSRKSQ4gr7Z4Wj3Ny2+tvqIARDkkq0WX5mbhrgn7yUn52Mp64esCpv2mU7jHNHodkfBMGx2FZg/qcCBYG06jSoqoGRpQPNSJeDz3h0GhP4EwU49Ooh3GhfTW3KDreV4E/Ot/BI443YFQ8rG4wvnaWlqgdVQrI5+IHvyhA11TxunvfjESM7q4+X8sYx6EVVWoGSzg8kzm6Tv/iSNn1X/ax+DRWxFAKJp46NjYtSFC0oALb6rlA6R7xcez+AXjzcvOLoFe9BGSPMLePEp6QogUTwWqiD58InwdY8pTx7Ve+KHYlmkFPOKwtkSMog9gcYreeliNKsgHRpMJZLxJUiTOG7Q/ZbzKQpDOREwqHGtXW9N+h7HFIY0qTskJrgm2zs4JjzUlg2jvAyF8KIlYloNclwM3fs3GxtLKKfo82J1BXJosM3z3AvvS2L4APZsrbAHKU6rn3mfonIT0P6NDb3D5txOLdxfh5p7Hr5P6SWry38qD+hmaITgSmvWss5viSJ+UCiVbmh60nTPUwfHP5/hbtDSlJEm4c2dXw9nabhOtHdMb3W44L+3uI+Hw9G+1Bq46jHDZkJsfg8vxMzQXYoxX1mPLCMsahQR2HwYpMLxmiXeP9ir3uKNn+FfD2Vex9qZmMyk1Fr47GXa7Xjeii+jfRqCQKbfQeKUzqn4H//WYs5t1agN9N6oW7JvTAo1f0Q4/MVHZjy3FoYWFxGtK1fRw+uX0UBmQl6W/MoazWY/q+amGhhbjHYWQ4Di8fmMntVy3iplFduTH1lFoqqLRihGNbQ+MslRhd8A43dGxOe2zS/oadkmOa+pBHCJIkMZ9tPREOaX+41DiXpgPULHqvFdvK5zlPYGEEhUacdhtSE9Tzc7sZ4TACo0oB830O41x2/HvaQNPndxQpCOCNFe45vyduO7cbd/+EaAduHdsN788ZgYTopmNmHYdawqFZxyFPOFS/fkm9+nNIa+y5SKNKd56oUt23nHYppNQkIyTFqO9JVDjMzzKSLhHA867/oJOk7xC80fE/TLYtNnRsyTHG75d6UaVBeqcn4od7zmXEwd7pCXj75uH46lejGZG2jDqLqeHHchxqYgmHZzJ1rLMh5H1otGSt4oLCiykNEhTi6EKmSGhUcmKTeTdddCJww+dA70vM7RekoRLY8AFTWSLEQyoTwuE43PU920tQ8xhqgY0fNv99qXDYUAkoezJUHVc/H98RsAkuIVpRpTEp7H6M41Cn4oN+7kYiYkNyHGoImjQaMJT+hkESSfRD5VG5QurCvwKdR6qf63OF7AKc/p4s6lNoljsVw+0u4PWLZJFBxLYvgDcubRId865hrwFajLidjYuNUN5ebi5m652VB8IvinUeAcz+TtxXMqWbLC4OnR3e9zXIp+uOmNr+UGkd1nCcdeFk8uBOOLenMafm7y7sheyUWBwtNx7TEYQnmFLHYXDx6r2VB/HsIo2CGMgJx3/8bDP+u6XpekonVkHHoZc4Dp0wEP97ZDWw+En97UwgSRL+M30gEqL1K2eH56TgjnG5qsd0HYcRHMclSRIKuqXijnHdcc/5PTFzZFe4XByRMFxpAxYWFhatTNf2cfj8znPwyg0GettzcNhPj/GexekBdRK6G6MVPVQ4bCMnWqzLgaevHQSngfP+8vxMTBlsLIGlhvTvbm0nVltCx8FK2kog1nMcHi6L7JjSIDEubeHwKBFdwuk2BLTdpEAEOA5rxcKh2+fHFUPU6zuajkMaY2qPUOGQ9MPL1ygc6pwSi3m3jkT/TuaLi0SFsRQbWTPql5mI564bjJUPTcBDF/dh3NfUcWhKOBSl5AUx4DgsIm8nchzS1ijpSdEtVlzAO6+VaRDXjdBvpzRc2o6BNu11DCVzHF/DiOvwvN4Gk7XAEw7Fa/IOu40pTLh5dA7G9OgAm01CO3KeM1GlZtefz3Is4fBMJpQ+WKJ9tIRDrQtw0DFIhR6jrHvXvAvQGcP2jTOKpxb49Fbg+QKgaKf+9ozjMAyDxlB6PB7f2Pz3jSLRf8oelQCnvyFxuqleS+Pc4wlQzIVbw3EIsJ+7EbeWSCCM1ehxSJ2QygjVsv3q50LpbxiEOg4rFUJNFXE8jbxTdgGKoJF51LXr9wBF2/WP6cRm4LsH5f92xQFT5hqrnOt/NZA/XX+7CGHlPuO564Asiplx3xkmYwBw83+B25YA4x4CRtwGjLkXmPkp8Ms1QJ9Lw/+eBqH5/Ib2MfAZ7SmqxmPfbMOs1wtx42uFePjzzdhwyFgDbYfdhhdnDMEleeJ4YIdNwu8v7oNbx8qVjE6H+cE6b2GKEQ7tNjR4fXjy+x2GX/fv320/NaAXTax8gRAnF2teN178YpDe6Yn4+LZRQuehJAFXDszEG7OGMYP4063HoS409gZgJ6YWFhYWpxGSJGFC746mo/Z6doxvs8hIizMTKsgFI0p5Y6+2YnSP9nhr9ghh7JxNAm4ZnYOnpuYbXiiuIY7D1nZitSVajsNI6XHY4NUWDrNTIjOynqZ+0KjSY2S+lhHG/oaAAcdhK88BqMBSrhFV6vb6cc0I9ZoL4ypsRJKAKIk46iKwxyEAJqr0kgHsXHpSv3S8esNQLPrtOOSFmEhARWORcFi4T90u5roRnXHJgAxhXHPHRDaqVBiZTgvq9TDQ4/BErfqa3tTjUP1etJ9oS8WUAux57fb5VQ7Pcb3SkJ+t7Tqc6vjJ1Hv2sR1CnrRPc5tRuanonmZck6BRpeW1HjR4xWJ9SY16vUP5HbQjyQDlVlRps4jMq5lFeMgcJItBvB5nInLO5T8esuOw0bEUanSauwrY+V8g72pz+x3fFNr7BSndC7x5KXDLAiBZ3LOKsTRrOe2M4guhh1oo+1BsdvZ8qa+QXZwA6zgU9TcEzAuHjECnIxwyn3srOQ7dNcChQqDwZWDzfPVzdeXyYr3ZAQrACt2VjWKh3w+UH1I/pydQMo5DElXq41fVcdn4ITDxESC+A5B7HjBzPvDZHUDFIXZbm0MWuyY+InaiRiB0om6Eyrow9zlUkp4n/y+CcITwfWo1Xq+o9eC+jzfg+60nmOfeWn4AQ7u0w3+mD9IdYMe47Hju+sHY8o9F2F+iviakJ0bh0zvPUU2A+2aY64sIAHuLqrHpcMWpSZPPH4CXOE6jnDZ8t/k4SmgEhubr1mD53hKMym0vXJzwBkKcTNeWyP16exrok2qCXukJ+O7uMVi+pwSfrjuCoxV1cNhs6JeZiGuHdUZnQa+BKIcNNgkQGXVPO+HQzhEOnZG5YGRhYWFhFJtNwrXDO+PpBbsM73Pd8GYUzVlYcHA6jEWVhlIMFk5G5qbip/vGYeH2k/jHf3dg18mmuevUodn4w6V9Tb1e7VntONQQDu1tM0YUpYEEOVSqnndEquOQijd1bm3HYWZymB2HGqIw0PpzgEQisBwpq2PmdUHcXj+inOp1FQcn/SUh2oEnJufBNp88F6nCYax6HrNsj7qIukdaPF6cGVoCgRI2JpeNKq33+LDhsHoteUSORlE/gLSEaEiSnOIDyGJ4Zb2XH8FqN7kux3Mc+tTi1PFa9fnSMRhVGq8dyZnZgsKhy2FDrMuuuo9U1HlOOY7tNgmvzByC619dqbpXKekmse1Z9OgmHcWmAD9qNs5lxx9N3gfjoxyIc9lVDvyiqgbh9bWUrL0oY8TbkfO8lAqHVlSpKU6f1V0L87jizDt/RFF41JVl2nHYjB+imdhOQBZbjm8O/f2CVJ8A/vew9ja0MiEccWV6vfp4hOqwpGj1Oaw2IRxqCahxPMchcQxq9TgEQvvcQxEOqQC6bzEw93xg00fqfo+AHO/5ynigwlysIwB+VCkgf+Z+hUhld2k7PQFOJIPJPqFK/B5g8ydNf+eMBe5aL8dm9r9a/rvHhcD4PwC/2SpHq0ZgI3AtzPQpCXLT66vw7MJdTPXzmUq/TPOC29++3oaXf97DVBdW1Xtw7SsruKJhkNUHyjDl+WWGXItur5/rAI2LcjBVs2N6dDBd7bfhcAUue3YJ7nh3DercPu537rLbsGp/KWdvbVbtk+NcaTVusLLO05whWqX5wb8RJEnCqO7t8Y9r8vHuLQV4c/Zw/G5Sb6FoGNxHVDUKnIaLYzzh0HIcWlhYnAHMKOhsuP9RRlI0pgwxFsNoYWEUJylWCy7qs47Dti86cthtuKBfOmaPVruSiqtNFGk2QgsZ9WLezyS04izbLKrUToVD2uOQRpVGZgEZjSqljsPjFS3tONSJKm3l85ze3w6UiF1GHp+fWddwQH0duu/CXlj+4ARc1I/TPiZSo0rJZ0Adf31DmPfzoN89zzm27mC5ypmXEudCbgdtI4bLYWPcfcK4Ur2CfoncR3iuM5Lic6JGfQ4EHYe0xyGlJR2HAL9/p5K0xGh8fPso3HZuLlO0bJPYBKTmkBLnwpuzh6NPCEXb1HWoFVdaQu61SvE2WTeqlKw/h2p0CpXaUqBoh9z+yh/5a4qWcHimM/o3+kJDkBG3A6m5/OeoS6y+HPA1DnA1HYeNokVzrL+8RTotyg+obeZ2J5A+ILT33vYF67RTEorzTY8+V5j/Nw+Y2vz3BbSFQ6bHoZbjUOOGz40qJQKdblQp7XHYjKjSGI2qJiqAluhUYZ/YDLx9lXmxTiQclh9UP56Ure/mc5IFbDOOYx7lpAeg3SHHZl49F7jxS+D6D4Gx9wEJBq8zEcaE3uaPu6i6Af/8fiduer1QGLtxJjE9BEfB0Yp6/O2b7Zj+ygrVwPWxb7czmf88jlfW4/5P9COY9xRVM1EgAFBZz1aE2m0S/p+9846Tqrrf/3On7c5sL8ACCyxVQJAmzYq9169dEGNsiYmJJvka02NM+SUmar6aGAuaoNhRLNGooFGkIyC91wUWtu/O7k69vz9mh537OefWmdm5w57365WX2Zk7M5eZO3fOPc95nuees4bpPiePf68/jDvnrkJbUPm8Dik2cURXihuhLRR7Ljp4j6/IDMlJDNHM/oakGa0VxXRSw/ZwHYdCOBQIBNlP74JcPDf7ZBToTOaW5Xkw59bJKMi158SoIHuhTsK4YEg7DjPtOExkAHFDHGgwPwHJCodZNjZKAq0J68xFlSr3iQrX9DO2q3BIXV+0q/EQEVxof1zSr6/hJo2JFd37+VJxZY+GcBgMR5maFockw5EgHt40ZSDyc1zKhd7HNran+E8FFXoNayWhhwezMJbjOKSi5ZSqUkiS/rmdHqeH1GpV9BZ2UiMEbw6SRJVWt1LHYew1PC4HCnPVP/N0Og4BTgwvp7uzyOvGjy8aiSvGK+cev3PWMBzxmF8IthfK929QqRc/vXgUPv3BDJxcpe0cVaMX7Tls5ovCHaEIWsnvZqJ4S80BzPvBOA67IapUloFN7wAvXAr8cTDw5BTg8ZOAR08E/vvHmJhoU4RweLxT2BeY9TZQ0E97uwkzgfMfVr8/p4DtN2tvUP6XR7yfMBnHYb8J5ranMaW9RwN3LIp1tOVxVgNpEQ3HolLVsNK1p0d+r5ibyyhDzgJ6nZD86wKscJgoOjFRpVodhxoDDl85exuz4kPnxE2PJ0OOQ5UfL03HoYXo2dqtwPKnzD1GLaqUCodGehRT6TgEAOn4/pmYNX2Q/kYqLNlZh5+8lWQschYwpn8RZpxgvNg6kTX7GvGdeV9BlmU0tYXw5uoDhh/7xfZabK/R7rjdcph/fKvFyd44ZQBuP02jI1Rnf94g+x+f0KArH41Q1jmgZeOQOh2HVjsOAfO/m2lGbUWx0yF1+6RB0nAdh/acMBIIBAKznFxVirfuOQUXnljBxI57nA5cOb4f3r7nVEsryQUCPWhn5rGoUiLc5NioW5OKRgca2tU7tzhEozLayEJEraSG4w1Nx2GGPmcqWCZGlUajMpN2QsVju6DnOKTpLt0pHOZ5XIZEolTCCofqc5SBSJTrGnQnxJUeu4bj1QbZVTjUSRU4sZ+1TkMK/ew7OI7DFXuUMalTdGJK41QQV5plx2EB6XfsnLuWZRlr9zfiN+9tQjCg/I40h7r+XRKU5y+t+YB0C4c0hpc6DhOh8byleR4szDnP1OttjVZibbTLdOR1O/HZj87CHWcMQZHP+qIy2rWt5jikMaU+j1NxvqNRpQ2d28uyjGW76vDiV8pjL6KXeJcs4SDwxm3Aa7OAPV8o72s5CHz6W+DvpwI1m9K7Hxaxz4hLkD76jAa+9SUw7gb2vuHnAze/AVz+hHbEoCSp9xwaiSq1av3tMwaonGzuMTUkprTP2NiP/thrgP4W8rrb6tTvoysTUuE4BGKRj+UGxMCCvsDl/5ea1wR0okpJtKCW41ArqtRIx2FAQyyQZY7jsJs6Do2y6vkuR64ReI5DWWbdfoaEQ9pxmKRw2NtcNnm2MaZ/EW471ZqQBABvralmei6ORx6/fgLG9Lc2SfjF9los21WPDzceYjpC9HhrjXb07+ZD/HNFIBzlukElScJPLxmFP1+cjQDRAAAgAElEQVQ7jhmYGuG1Vcp+z/iExgUnapwPVYg/ho0qjUKWZYSiFodoA6bFfvdthFdl4sDncXb7pEHSuETHoUAgOL4Z1rsAT82ahC8fOBuPXj8Ov7niRDx+w3gsefBsPHbDBAwoteckuSD7oUJRXDik6RJUYMwk/Yq9SBzKtAbCaKSxaBp0hCOgOmNetqUxJIGWuJQ5x6HydROF65qWDsXxyItOtAv0vU3sOJRlmXEcplrcoIsjE/FlwFVLhUMqPiQSDEch0yhLAC50vYfHzldRTr+hTa9vaMchZVTfAs37jcIm6sTet8a2IJ79YheufWoJluywJhyyjkOrwiHrONxe04Ir/7YEVz75JZ5bvAseWXmMBNB1DMkAzvjjZ1iwNjZfodVz2D/F/aEUKghrCYd0PibH7URD7yn4Omp8TuzZyMWISacxBpX5UnJN37uARJU284VDrZhSgHXWNneEsXpvAy587Avc8PQyLNik1DB2Vh/Bs1/sMrXoxxTv3w9snK+9TcvBWHpdi3qlT6awz4hLkF58pcCgU5W3Db8AuPl1YPh5xn7Y1IRDvahSWbbuODzzf83/6FLHYcXYrv9vJNKSovWYdDgOgdjn9Y1/A0PPVt+m/yTgtv8AxQNS85qATlQpOYFpOg41Bhx5PMehiajScAdiP9MJGHnfeQKh06P9+VoVDlsOAkc2Gt++oAKJP7wI+WPvvSXHIRnwU8ehGQdhThFw4pXGt89SfnbJKHzTogtNloFXVu7T3zDLKfK58eqd03HXGUPgtDAmfHH5XlQ36HcWUnj9hYloxZ62cOJKgZh4+D+TKnHH6eY/851HlYsWPJ0RQBMHFpvqgpxxQi8MKoude+iFlSwDwUjUelTpGT+y9rg0oha5pRVhalu4UaVCOBQIBMcfFUW5uGpCJWZNr8IV4/vbdnJccPzAOg5j13x0ojNTghIPj8uBvsQBs99EXCmNW8txOeCykTCabnI1PstMpVJoOQ6ZfsNiLxwOe4pEdOFeouOwuSPMxFT2KUyx41AjhjYTHedGO3zjhGUwPXjOTuHQ5ZC6vqeMcGjfGG+t96CiMBdlKfqdZxyHoSheWr4X036/EA+/vxkr9zTQGT3M/+oAIlF94aZPUYoch2TxfltrE/7n70uwbn9sftsDdi4hAOV1YGsgjO+9shZvrTmg2XOY6v5Qil7HYSI0NjbH5cDVEyvx7dD3cUjWF29fCp+Djz3nKm4bXJ6aefDehdRxyP9s6/xKQbGUvPf5OS64yHn5pmeWYmtnmlUblNvnRDvw8Pub8fsPtljab01qNgFr5hrbtvUw8OXjqd+HJOk5IxIB0HpE+Td1OenhIycRo47DUDsYoWf4Bfqvd+6vgdFXmNpFANrCYRURT41ABddE0tFxGCevHJj1FnDXF8CUO4HBZwJVpwMTbwFu+wi4fSFQYj1mkYuacCjLsZNYIpY7Djk/RmaiSqlY63DzHSAUbzHnthJtYdpKVGmcRNFVD6cbyCcxus0HOcKhgc9bz3GoF1ucyNS7rIntWYbDIeHnl47G7OlVlh6/vjpJV2eWkJfjwoMXj7LkNPhqbwOcev2cHFw6j9lyWN2d3Nyhvdq7UWNAbZT4hIYkSfj91WNVnXWJFPvc+OVlJx772+N0MKehQDiKIBEOmz16fZwScPEjwPBzdbbrfrwqkwOZmDRIGifnolCvQ0MgEAgEAoEubrI6LagSVWonxyEAVJKx8f5644vl2gJK8UYt3v14JceWjkOaBtL1GdF+w/427TcE2BjYxDQW2gtXnp+T8vdby01qB8ehHsEwG1fq7hQOFaI2jSq1aUwpAM0YSTOLYPWgbtMVu+vw07c2oIPTdRhnzpd78OD8r3VdX9RxeFilB0+/41AZVXr4yFE0Jyw8zoHyc43KEkLgH7cPzl+vulC22OdO+3ndlHBIYmNzXE7MOKE33GVVuDrwayyM8CtPGuR8/C50I34avg3D+yiNH1WpEg4NRpVSx2E56TSUJAkl5LZAuOu4aifCoU+Kvc7Tn+/CJ5tS7Phb9Zy57de+1Kmh2Ad7jbgE6cV/VPk3FSr0sOo4pOKaww3cMA+44Hd8B1V+BXDjq8Bp3ze3f0Csb7FJGSWHPl0TtBh7Letu02LANKBijPr9VOAy0rVnlr4nARf/CZj9DnDre7Fo0oFT0xN/QLsJ4+JXewMQSTw5S0CeRueZZlQpx3HIRJVqOA6txMMGWoANb3JubwbWvwFEVQYwVh2HgHbPIw9eXGk6Og57nQCMuFD/eUZdBpz5gP52xxF6QpMaIZPxm9mOWn+gFu2hCEZbuBjRekxtawBHVQaTgP5+NpiIkVIj8QL7pMpizP3mFJRrxJRUlnjxyp3TFKvyJInt+esIRRCKKs/xe8rOAM79FbvAAwAGnQbMmg9MucPSvyPdqEVuZWLSIGk4fSfCcSgQCAQCQfK4XdRx2BnfHrGv4xBgO+6ouKSFP6h0tahNPh+vaHUcZkogpqJHonB9gIjCdo5upgsaFcJhI40pTf0iOK3PNhM9npaEQ+IejEeVKs5BUXJNqVUBlWG0Og6tXKurQd2mX+7QqH9K4LVVB7Bw8xHNbSoKldddqo5D3mLPRMj8myeqPG9T4TAWU8qfg+0IRVUFzH5pdhsCZoVD1nHodEh44qYJaM3pg2+GfoQzA3/Bn0LXYW74XMwJX4jvB7+NaYEn8HTkMpw7qg/z/R1clirh0GBUKXEc8mJiSzREcr+sfB0vup5vzpe7dffTFLs/N7d9RyMWfraQW7uTKew14hKkF+o4TJlw2KD+mEAzv4/O6QKm3wPcuxaYdo/y/gGTgRMMCBs8DpN+w+KBSqdZTgEww6AY4nAB5/xcexvGcZjl7izGcdgpCtN+w7xe2gMiLdGM13FIBbpgK5iyh2P3mYyHbdgD/OPMWOEsJdQOvPlN4JUb+as6rDoO8/soBWsjFPZX/t20H2gkIngqOg5dOcD1LwEzfsL/LPJ6AWf/HLj2n7Ye9KaDbTUa3ZoapLpI3s7IsqxYiWeU8vwcnHVCL/QpNB5/4nE5cPWE/qr3b1HpN4yjt5+Nbeq9Fmp4iQBGu3hOrirFf390Fn5/9VhMHFiMsjwPyvNzMHVwKR69fhwW/uBMjKxgz4/MyuZQFAEiHLocAE67Dzj1PuWDT7wK+Mb72tHWGYa+b3F87iw8x/CiSoXjUCAQCASCpKHjKlkGIlGZcRzS7TJNJXGdmYkq9VPHYTamMSSBVpxlpgRienwlTrTTz5Z+9nYi16MeVXqQOA7TcT2r6TjMQF2BaeEwEgUcyv10S3HHYcLtUTLBb+OoUq2Ow9F9Uygcks/eTHPcP5fu0byf7ThUcWeZjCr1QSn85UC935DHziP81LRUd4fyoJ1+5joOY+e7E/sV4bW7p2NkRQH2yhV4MnIlfh6+DQ+Fb8Hb0dMQgAezpw/C326ehL11yn9ryhyHTFSpmnCo/GxoVCmgfawzjkMEED9Kl+ys063LMYWWKUaF5z/dgFP+sAifbtEW0buLnjUq6elQ4TAvWeGwPvZf3ahSDaHH4QSGzACWPdl1W1O1uf1KpIYIhxUnsdtM/w7grwW+fEz9eZwe4Kp/AFWnab8eI2LZd8WZIdSiSltITKlWvyGgE1VqQDhEZy8mT4g14zjsaAbmXg3U71TfBgC2fQi8dTdw7QtKJ6cZd2oiE2/hu1K0oI7Dg2uUq9ecnpggqQd1vtC+SKcnJgjOeCDm6t32IVDX+f6UD4/FCBuJfj3OiERl7Dhi/kcdAK7QELeON1oCYYQNdA9QLh7bFy6nA986cyh+9e4mQ4+5eepAJmIiEa1+Q8CA49Bv3nF4xvBy/Gdj10IKuiIZiEVM3ThlIG6cYkDo7yTX7UDiNU8gHEUwqnxul9T5vkfIAJrErNgRtUmwrHQc8s6PwnEoEAgEAkHS8BxmoUgWOA6TiCqljsOs7H9OAi1xKVMCsabjkHYclth3/ofpOAx2/TuoSysdHWxajsNMCOSFKYgqjXccKo6RLIoqLcxV37eUOg41Pns9vtheiwZ/UHUeoIIIh80dYfgDYTYOVDeqVDn/lkeEQ4+kPDfrCYf0XB6nfxrcvBR6bDdqJCsFQmxUaZxRfQvxwfdOx/Ld9Xh5xT4sWHvw2H0OCXjw4lGQJGA/OQ9WlafmPEijSuv8AYQjUab3l4kq5TgOSzWEQ9px6JBk5CKIjs7b99e3oX+qBF9fKdByUH+7BBrlPNT7g7j9X6vwzC2TcPZIA/PAacReIy5BevGny3FoMqqUCj1FZNK92aJw2N4I7FykvC2x3zCOJAHn/RqYOR8Yfj57/8hLgTv/C4y5Wv81rcRm2hkqHLY3xiI+P/yx8vZIWHvlhCuXKZIGEBNWee+R08X+sKs9vxmxdsXT+qJhnE1vA/uW6e+XHiVVwLRvm3sMwAqHdF+KBgBGOuL0VlYl3u/KifWInn5/7H+jLuuRoiEQixSiq6+MMKRXHk4fxonfPU6pbzXv0nM7Jdw4ZQAAYPYpVZg5TV9QO3tkbzx40SjNbTYf1hEOdaJnG0w6Dot9bpw7WjloS9WEBnUcdoQiCBDhML7ClXFHZ4HbTU0gzMpV9TzHoRAOBQKBQCBIGqdDgoMkwQUj0WNdh3Hs1nE4IAnHYY/vONQQge3jOEzsOKTCoX3HgIxwmOg4bKTCYRochxpu0kwI5Llup+bxRok5DvlRpTlZGlXqcjpQwBEPC3JcTORyMtBrW7McbVWvI8l1O5kYSm5MqN68WEGF4s8cKQw31DsOg7K2cKh2bHVHD6qZqFLq4Kf7LUkSpg0pw2PXj0dpgngblWMJXfvr2xBJWEie53GiV77xVCktirxuxXlflll3IQDUtRqIKs1T/7zCcCEoK49RX0JcqZMORJLBSE1UAgflUmyWBwGImRvuf20d2lRE6e7CXiMuQXphHIcaHXU8eMKhLOs7DvWEHhrR2HoECJuY0K3ZCMy/C3hkBLD9I+V9gRb1yMth5wA3vw6UDlXeftp9QJ/Rxl7bbGym3aHC4f7lwBu3AUe3KG8/uhl4fBywdwn/eSQpFgtL4bkN4/DiSnkYjYeNRoDVL6i/HofgsqfxzOe7cNMzy3DJX7/ADU8vRZtk4oe+dCgw6+3YqhKzkBVPqN2q/NtITCmgLyKYdUL2ELbXKI83eqHFI8/jxF9vmABHKgcWNoc3cNPjZ5eMPraKVZIk/OaKMbh8XD/utgW5LvzoghPw9KxJupMFm0lUaS+yQq25XS+q1LjjsMjrxpxbJ6MgR/n9SdWEBl2VGXMckqhSdA7yqXCYBU53tUjSrFxVz+vLcNl30kggEAgEgmyCioKhSJSNKrW54/BAQzuiBhM6/AHScZiNi6qSIEfjmsuMyJNK6D7Fj79DTe2oziLhkLo5FR2HNKo0DXGKWm7STAnkZuJKY45D5X66uR2H5JrTplGlkaiMBWuruYulS/M9zAKNZEjGcQjoL87tU6ic8+L2HGoJh25fbB6RmB3y0PW9MBtVqhb12h1RpfS41kpeUosqpUiShFF9lXO6mw81Yw8nplSSUjMfJkkS4zrk9RzWJxlVCnDiSqXY6zgdEganKHoVADDpVr6pRoV54XMQQdf2jW0hhfMzE9hrxCVIH+EAK/AZiT1MhIohbXWxCcyIxkRyNAS01ytvo0JPbhERjWTjVt5NC4CnZwBfv8LGtwHA0ieABfewueOK1ycneDXBihKNAmEygXu8OQ61Ptu22lgM6IHV/PtNC4fkuFD7HOjtapPm9btjPYEmaN60EL/992Ys2VmHjQebsWxXPY4GyACh/8nsA3uNBC76E3DX50DpYFOveQzqOKSkTDhMzWqg441tR5Qi1DmjeuOiMRUqWwNVZT68cud0jOlfpLrN8QgdpGmVTnucDjx0xYmYfUqV4nZJkhBRWdBx37kjcM9Zw5g4CkooEsUO8plNHaz8jTLrOLz37GGoIBchEoBZ0wbhve+ehokDS5gLqlRNXLEdhxF0RIhwKHW+Nv3dyQK3W56K4zA7hUPOMe+2v+tTIBAIBIJsgE4YhziOQ7sJh30Kc+F2do3bguEoajUcM4kwUaXZGOOeBFoCQ8aiSsnxdaQlgG+9uBqn/mGR4hpGAvDhhsMK942d4DkOF2+vxV1zV2HpzjrFfUeaOyCrLbi3iJogAWTuGkBLOMwnYmYwHGViR49FlSZeu0WocGg/8d8fCOPW51fge6+sZRZiAMDeujZc+eSXqOE59yygJRrrUZbn0RXkqUOWKxzyUmLi5BR0mh2U5oV8qet5qONQTzgcUcGvOdpX12Z4IYlVqEim3XGoHlVKGVWhnCvffKgFu2uVRo5U9RvGYYTDFvazrSUpWGWcWFuteSoA8EN5DMU7Ls8f3QflKXJQAgCKBwBnPWho083RgZgTuYi5/R0hHAq6Bf9R5d9un3YPHY88EsfXVge0N7DPS4WJlhqyDfkRkCTWdWik53D/CuCNb2qLWwCw9iVg4UPq91OXIHURqkGdb0BWOD80ocKhHuF24J3v8l2dTG8htIVDKjQajSpVE2sD2jGGPPLBfqZ+kOO1bofy73N+AdyzHJh6p/nvVCLdJRzqRTb0UHYQx+GovoX4+8xJ+OT+M3AT6aqTJOCD752BsZU9SzQEgHq/chJkclUp3v3OaTh9uPL3obLYi8U/Pgu3TK9inkOWZSzfVc/cDgAdYY1FHgB2HW3Fr9/diMkPf4xQpOu8k+NyYHhv5fdPa6VdezDCrLa75+xheOXOaYrbCr1u/ObKMcdWkjMr3lMWVco6DgPUcSipOQ7tL1p5VSYHfNkYx8W7CBWOQ4FAIBAIUoKbjInCnI7DRJHODjgdEuMqMRpX2hZUjn2peHG8oyYwuBxSxlJd6Lh86c46fLDhMOjcvwzgFws24q65q5nJeDuQS8bfq/fUY+Zzy/GfjTWgszcPv78Zd81djfZg6v4d2eY47F2onCcJcaJK3YaiSu3lOJRlGfe+vAZfbK/V3G7L4RbMnrMiJcdAMo7D6ycP0F1EXEE6OblRpZKkPjcWn3v0KOcgFY5DybhwWJDrwrNf7Obe98f/bMVt/1zJuMtTCT2uG9tDqgsBAiHtqNJERhEX5aZDzdhTq3QcDkm5cKj8zI60sItw6vwGokr1HIcycRwiAIcE3H76EKO7apzTfwjMeBCx5SZ81kaHYlbwQbSBPWZ54ml3IoTDnkKyMaUAJ6q0nnUx5hazDr6WQ8q/eeKalZ7DT3/L/kirsfRJoPUo/z4qPPEEQR50O1cu4MjyFYJmhUMAOLIR2LeUvZ3nOKTicyJWo0rV4mG9JeqvpUID2H1upSdueswPmGr6dbjoCoeDjD2PnjBos4GsXaCOwxF9YsfCsN4F+O1VY5CXcOEly5n/8c4UzOqufA/GVhbh3nOGK27Pz3Uxg744u2r9qquwtQbUcxbvxnmPfo7nv9yDRhJDGghH8c+lexS3NXeoPxd1G/o8TuS4nMzqVzoJkK6oLHphHQhHEIgonzu+wjUbo0rVYrfystFxyDvHZoF4KxAIBAJBNuAiYlGQE1WaqQhLLWg/2P76dpUtlbSSsa+vp0WVqnyWmXSV0n3S8wp9srkGv3pnY/p2yCLUcXhUp6v+o001+O7LX6XMHWW3jkNAXTjM8ziZ65VYVCntOIx9XxXHSITMSdrMcfjF9los3HJEf0PExMNXV+5L+jXpZ59r8Ptc7HMzaUU8qOOQRu8eQ21uLD5XSRb+D02YymYchzJfiPJ5nGjRmHcAgM+2HsV35qXuu0UpJL2VkagMv4oAzESVmhAONx9qxm4iHFaVpVg4LNSOKm0LhtFBxM9SruNQeZuLLDhqI1GlXimA31w5BpMGmZ9H1kWSgBk/Br69FCE3O+f8reC9+J/gr1AL/ny8J8nO0GSx34hLkB6o4zC/t/nn8JKo0mALK0h6i4EcKhweVv7N66RjHIc6EZN1O4Fdn2lvk0g0BKyZy7/PaEQmxWhkZjZBPzujbHqH81wmHYeGo0qVP1SqjsOSqliEqAkWRSYwt7XJOhPCfcaYeg1V3F72O5aIUcehXmyhiCpliEZl7DiiPN4S3WuSJHG7S3oiNKq0rDNPvjDXeK6+mtsQAPwB/gB33vJ9eOi9TZpRQPV+5Wtq7QMVDuMDS9pp0hGKKlbrBYmQmLqoUuXzdISioG+FU63jUM9lbAPUHIfebJwc40aVHge//wKBQCAQ2ABex2FiygRvGzswoJQ4DusNOg6JcJjf46JK+f/eTAqHVl77lZX7DX/m3QUVDo3wyeYj+GRzjf6GBtBynWWqy1NNOCzJ8zCfeyASZYwBbokTVUo7Dm22UHvusr2mtn9x+b6kY2vpNXXfYq9ub1yR1405t05m+gt5VBiJKgXU577i857EvPCrCwcivnZFL6q0PD8HF5xYwbjG1fh061HDAq5ZXE4HCoiLlxdXGo3KTPS3Vs/ssN75Cod/S0cYq/cqUwe7O6q0jiyAKMh1ceNWS/KUn1f/Yi+G9uraV+rse+DsAbh5qkGzhlV6j4LTwZ4XP4+OU/QaUsZlOOnMfiMuQXqgAp/ZfkMgJtDQybH6ncq/vSUWHYcDlH/rRZXuX659Pw+eKw6wHlXKRGam9oSZEZwua2XOVJgGzHccUqFRLaqUOg7V3ndJAibfrv56HOZGzmNuYxyHiRQPjInlqULLdWg4qlRHGHRpW/Z7Igca2hWrlnJcDkYopDn7drsw7C7YIurY8VToVQ5Utdx+y3fXqd7Hcxw2d4Tw8PubzOzmscep0dimvK+4MwOfd4GbuCqPGWin0XHIdBwKx2HmObgGWPkce/uyvwPNme0eEAgEAoHgeIBO3ofCctoSH1JJZYm1RYbUFdLTHIeqwmEGxWGtzi81ZBl4eUXyTq1UYjUu0qzQpP766u+j2qLCdFOoJhz6PGy/apiNKo0v5FScg6hwaDPH4Zc7tCNKKTuOtKKm2VhHqxr0GjkcjeKtb5+CO04fDJpA7HZKuGZSJd75zqmYONCY24t1HKoIh3pRpWQO8uCR2mORxDlQzntMH9EPz80+GU/cNAEv3zENS358NlPjokeqvls86LHd1MbOhdC5DEDbDepxOTC0l/I9ag8pf7P0BGGz6EWV0uQqXr8hwDoOWzvC6J/wO02jSsf36QbBPxyEI9DE3BzvV1Qj7YKmDvYbcQnSQytZNWQlqhRghZ+6Xcq/cy06Ds1GlVLXmRHoZOux/aFRpQafm4nMtP/krSbVq4E5FxmPf02E53LzmBQOmahSlc+BCrZqUaUAMPEWoHKy+v0JzAlfiC0yK875ZQ0HX5+xhp7bMGrCodNjXOzXcx9plUT3ULaTmNKhvfLhJCNaq5MBxxt11HHYmSdPHYetgTDCZGAqyzKqG9qwWKNfwR9khcP5qw8YXsmXiBXHocfpgEQuZhJ7ANhOgNRc9PI6DjtIx6Ej7jgMU+HQ/v16PpXV81nVcbj4MeDpGcCeL9j7Vj4DPDkV2PXfbt8tgUAgEAiOJ2h/YTASZSY77ek4JFGlBjsO6aK5vJ7mOLRhVKnV116zr1F/o25ES7jTYvGOWnSEUtFzp9VxaK+o0mKfm/ncg5HsjyqNRmVL19GtAQtzggnQz74jFEWxz4OfXjKaEYbm3T4Vj1w7DoNMRF5WFBp0HKpGlfIdh9v2dZleaMdhjteHc0b1waUn9cP0oWUIRaJYuUfpvtPjyx21zBxJqmB7DtloYjqX4XRIun2So/uqp9IV5rpQ4kut4NaLiSpVfrZMAlY+/zOmwmFjewgbqrtEOz+JKrWkMZiljb+A3iepC9DnjOyNscJxKOgWUhFVCgA+EqVYt0P5t7eYdZq1EuGQJ7AxUaU6wqEV4VOtX4/uj2HHocHIzGxg5yLg+YuBfUusPX7QKcq/g21A8wF2uw52dcUxDHccmnjfXTnATa8Bg05V3wbAC+Hz8XB4Jvc+v5bjsKKbhMOiAQDH0s5FVzgUUaWUbTXKY21EHzZml3EcGpwMON6gq+rijkOfx8mIrfHOlo5QBP9csgfnPfo5Tv1/nzLiYyK8qFKrkR7aHYd8x6EkSUwnQ0dCPCmduEpZVKmbRpVG0B5Wvp9OWc1xmAXCocqqYp/FCY1uZ9XzwCe/1N4m0Ay8fANw6Ovu2SeBQCAQCI5DeFGljOPQhsKh1WsF6jjMy6ZFVSnA5XQw1xCAvToOjdIRTl5sSyVWXX2yrJ3cYhQtx2OmnLVqwmFpnoc59wTDUUYEdHcmwCiu3WwcVepwSCjINf9eF3mTW2xOP/tEIZoeW5Wl5udRaVRpnT+IAO/7p9dxSOYgd1V3GW48IJ8rmWfT6zXkodU9mCz02OYtoqbvkZFzHe05TGRweR4kuuo6SdioUuX8E40qVXMcFnrdigXhkaisEB3b6TwvNQalgzb+Avo8FcfhxIHFeOyG8encI0PYb8QlSA80qjRVjkMaVZpbDOQSNbydrMLgCT1Flcq/eaJTIkPP0naa8Rh1Of92o043CuM4zNKo0uZDwKu3AGFte7QqucXAiVd1/b1jIfDYWH4H5Se/BF66FmjnrMZjokpb2G0AjuNQZ6DhKwVmvwvc8DIw9Jwu4Sy3CBh/M+7N/zN+Fb4VUZXToWZUacqFw/78243GlAL6wqGIKmWgjsPhfVi3rOg4jFHfyo8qlST2oqS5PYza1gCueWoJfvnORqZHkgcvqpSXz28ELcdho5/vOAS0L3TSNXFFnYsdoSg6yDWF41hUKT0H2l84VIsqVXMi2opgm75oGCfUBnzyq7TujkAgEAgExzP8jkP7R5UOIOkkBxs7DDlLaMdhprrfMgnPdZhtUaUA0EvF+ZIprHQcxslPgYBNF2MmYruOQ5+HEVF4wmG8OkKz49BGjkMAOHukOdPISZVF6FWQ3LHM1HB0Ot1CkSjjgFT7TLQoyHUzx+gRXryqjnBYF1bOjTlCXfMVXuI4pMldVgRZp0NKW1VHMXp9YasAACAASURBVHH+8eZQAmHztStawmGq+w0BNqr0aEsA0WhX56ZaAhbF6ZBQrHFstckZcBzyKr7Ajyq9YfIAzLtjGgpyM78QwX4jLkF6SJnjkAiHDXuUf3s5UaUUnsBGBZP2Bm3nX24RMO4G7ddJJL8CGHkp/z6rUaVMx2GWOg5XPQcEVUQ6I8x4sGvieuciYN51qispAADbPwJevFq/I1LtxG204zARhxMYeTEwaz7wsxrg53XAj/cBV/4Nk089V/OhmlGl3eU4TKVwKKJKGbYTx+Gw3gYchz2w41CWZXagltc14KJxpXX+AG57YSU2VDcbfg3eCjyrF66BcFQ1Zoc6DhMjNnjRKonPmUi6HIctHSGESUG245jjkAwsXfYXDtVWPGfF5NiGN7Td8pSdC4H6XfrbCQQCgUAgYGB6xrLEcVie71EINZGorN67lUArEQ7VUhqOZ3iRlqnqEbeC1fH9JSf1TfGeJIdV4XDiwOKUOAIdDkn1vczU4kEzUaUhblRp7HrMoxlVmvmJ/kRumW6uH23mtOT71Oh3OhiJIhqVGTHL7ZQsHafRqIxCItz95r1N2HiQXLNpdBy+u+4g3livNDTkS13nbLdMUpLIc+XluHDyIGOdjHFOHVauGw1qFXps84VD6jjUf+9H9eVUUHVSZSJe1ihleR6FCz0clRU1M3VMx6G6yE3jShNpo1Gl3eE49POjSvM4UaXjBxRbjptONfYbcQnSA+04NNqXRqHCIV1d4y0BcnWEQ57A5vHFHpuIXs/hWT8FSodobwMAkhO44kl1p5XVqFIqMGZjx6EsA1/Ntf740+4Dpt4V+//hAPDW3ewxwaN6NbD4UeVttBNRLaqU3m72fZckwNk1yLh6YiUjCiWiGlWaU2RO0DNCKoRDt4gqNUpdawDPfrELmw4pha0RHMch7Tg80hJISfdDNtEWjDDCWUle1wC10KscvH+48TC+PmBCcAHfcXjqMJWYaQOoRYg0ko7DYoXjkAqH3RBVSgbtjW0hRMgQTZI7XzsLo0pVHYfZMDnGc8/rPkZ0HQoEAoFAYAW3Sxl7FghFEU5wG8S2sd80liRJzDWlkYQS6r7paVGlAF84zLao0l4FObhwTEUa9sY6ViedZ5kUmjT3QeW9zJjjUKWPLRZVSs494SgjAnY5DrWiSu31HZ40qBTXTqrU3xDA1MGluGqCSgqWCXifeyAcZcSsIq/bdNTl1sMtOP+xz3GQLMz4aFMNLvnrYtz6/Iqua30Vx+Fevwv3vboWzVEiBqLrnE07DnnPZfa7MisFoqwaTMdhGyscdpCOQ7p4mUdZfg4THxpncBochw6HxLi3Nx7smq+jC9lLVaJKAdaFmUibTOZNjeoAyWDCcWgkrau7sN+IS5Ae0hVVSsnldBxS1ISeQvJj1rRf+3nyyoDZ7wF9x6lvk1MIXP8iMFzDVWY1qlTPMZcNtDewHZRGqDoduPkN4Nxf4Vhw9KZ3WIFai9XPA+GEkz4TVaomHKb2fc/LceGFb0xBn0L+j2GrmuOwYgyQ4jxvBFUuLmUTBcp6wqCIKkV7MIIH56/H9N8vwsPvb0aETEY8uWg7s/q3yOtmVrVVN/asuFJaRF2Q41IIXtRx+OEG8+cWnnB43ckDmAs5o6j1czQQ4TBRAKWTBd0RVUrjUZvaWcehFL8ozcKo0ly3g3u69GXD5FiHccfsMdSitgUCgUAgEGhCo0p5aRR2dBwC1noO6di3JwqHPKEuk8Kh2dd2OST8+dpxliNO04UVAXTiwGJcepLKYmYLqImX9nMcepjPPRiJMiKgS+JFlVLHof2+w7+7eqyueHjqsDI8M/tk5hxsBZfTARfpLu0IRRjhsNBkTOn2mhZc94+lmqLKZ1uP4oanl6GlI6Q6N/be1laEozJjEkh0HOaACofsAv1LxvbFtCGlhvZ9xgm9cI7J2Fgz0PfSmONQ/7P+cMNh1cXYzy3ehR1HUnfdG4pEMWfxbmbe6ZY5K3DbCyuxem+94ahSwKTjUM24kkrUOg4ljnB4NGF//LUx483cq4BnzwPmXQ9Egsxj0oU9R1yC1BIOAh2kU85yVKnOSdFIVKma0EN7Dpt0HIcAUNQfuONTYMBU9rku/APw/fWxiErN/aFRpT3McWiF618Ehp+nvG3jfHPP4T8K7Pmi628mqlTlxM1Mmif/vg/rnY93vnMaRvRhIypVHYepjCmNRoAPHwRevYl//6e/jbk5w5zcdorTpT1Y7eFRpe3BCGY9txwvr9jHuMfivPFVNW56ZhkjHprpOZRlGRuqm/CfjYfxyaYa7KvL/mhTZnUXGaRR4XCvhX+zP8gOSnsV5OCes4YZejy5PlHtOaRRpZqOwwSxkBEO0+Q4bGoPsb2r0XAsCkcmE2hZIBxKkgQfZ+IgXR0PKcVb3D2PEQgEAoFAwAqHnEVlVheUpRvaC/b8l7vx2dYjin4mCh37ZsXYKMXk8ByHGe04NP7axT43npl9Ms4YYXFhfhpxOCRmcaIW4wcU47nZk1MiHMVRFQ4zFMGn3nHohsdJ4jU5HYdunuMwQjsO7RVVCsTOq3+6dhxev3s6LhvX71jqi8fpwJkjeuGZW07G3NumMtfzycAsxg2zwqGZfkNZlnH/a+u4ghhly+EWPPKfraqOw1WHY58ZnetLdH6xwiH7XC6nA0/fcrKueHjmiF548qaJcNDJihRiqOOQOg51FjvMXbYXd7+4Gu0qSVvrq5tx1d+WYL3JlCkeHaEI7vjXKjz03ibuPN2iLUdw3T+WYScRjcs1umVLVNyIkgS0E+EwarOOwx1HWmPz9Z/9AfjLKOCTX8WqwQ6sALZ9yKZQpRH7LYUQpB56cLq8rMvOKEYch3pKvZrQU0Qs8XpRpXEcTiBMvmiXPsYKW0b3x7LjMAuFQ29xrC/STH+Tt4QvDrdYcC4mOhQZ56ea45B8Pil63/sU5irEgzgRSeU02WdMSl4XAPDBA8DKZ7S3Wfdy7Di/5nl9p6MrV/396+HC4e8/2IxVext0t/v6QBMeencj/nhNl6N5QIlPEZPA6zmMRmW8vno/5izeg601ytVXpw0rx7dmDE0qejOT1PuVwjWNhaBRpVboCEURjkSZ7P/vnTMcLR1hPLd4t+pjS3xulBfkKDormw1GlZYohEMTjsMUCYc8x2G+TIXDCH9hi16vqU3w5bgY14Ba96GtGH4BsP5149tLDmDo2enbH4FAIBAIjmOoYESFNY/TYTraLt1EojL++J8teHO1cv5i86EW3Pr8Sgwuz8Mj147DJNKHFYnKTHRcT3Qc8sQtuzkO83NcikWlJ/YrxMxpg3DF+H4p6QNMF163U3GMjasswjoyyX9iv0LcMn0QrppQmfL3Xe2zTVfPmx7qwiHrOAxF2KhSZ1w4TPx3UcehzaJKE5lcVYrJVTGRKxiOwu2U0nY+zXU7Fdd+HaEos6jXjHD41b4GrK82Pm/5xuoD+NlYD3ivEE8Vo+lieZrCIf+auzDXjZdun4YPNhzC3KV7sWJPPWQ5NmV3ytAyzJo2COePrkiraAgY7TikwqH693Dt/kb8YsEG3ddt6Qjjjn+twqc/nJHUtf0vFmzAZ1v5wlqcSFRmUr+0okpLVKJKR1UUIlir/DxD7a3Ug5h61DoOwRpEqhvbEf73A3Ct/Ee690oX+57RBKmD6TfsbT1iUU849BYDAZ1YLzWhp5AIh00HjO9Xw17l38UmsqMZp5tB4ZBxvmVhVKnDCZx0A7DCxMlo3E2Ag/MDY2XyOnHVDo24VYsqTdP7LssyNid03TkQxbedC3Cn6z3+A7Z9CIy+Qr/TU4/9K/VFwzgb3wLGXguMvER7Oy3hUGXVVU+gqS2E11bpRCAn8NaaavzogpHHVg/rxQ9FojJ+8NpavL32IPf5Fu+oxeIdtfjFpaNx22mDTe595qlrJbEQVDhM0QrFtlAEheRiUpIk/PzS0XA6gKc/V4qHvQpycOOUgZg1bRB+8Po6pXBo0HGYOKjU6ji0Eu9hBJ7j0EuiShENAyGySMblTX1kcpqgfYYuh2TbqDEFoy8H/tNLdYUgwwkXswkKAoFAIBAIDEHdhG2BiOb9mSYalfHD19fhrTXqi5531/px0zPL8K/bpmDqkK75FF7ShjdDTqxMkstxvaTS9WYW3viUJtG8dtf0rBB5vW4nGhIEkEZybfTAhSPxrRlD0/b6PMdhJl21uW4nPC4Hsxi0JM8DDzm3BMNsVGnccag4RmjHoQ0dhzzSLc7zrqmTcRy+vYY/x6KGPxhBdauMKs59rYjN67QxUaWJHYckClJjHs3pkHDpSf1w6Un90BGKwB8IIy/HZbln1ArGhEMyl6HhSH72i12GA+oON3fg3XUHcd3kAcYeQNhX14bXV5uY/09AK6qUZwwBgJMqi+BozUeiNhzq6AbhUCWq1MeJKj1N+toWoiEgokp7BnSyy2pMKWBAOCyJOdi0UBN66ESbUcdhRxMbxVo80NhjAVY4NBpVmibnW7cz5U7jOewONzD5m/z7KieZf+3+CY8xKuCmqVvyYFPHsexuCVE85n4SP3S/jkJJxQK+5T3ghUvMuTV5GBUNj23/rP42WiJuD3Ycvrf+ILOqV4tQRMaCtV3nIb2o0kc+2qoqGiby0Hub8NFGCw7dDEOz5svylEMrmqvfv9hahCYvkipOMKwcvV4/eQCWP3gO7j9vBHoV5DA9lLyOw0hUZm5XRJWSyYvESA8am5E64VD5PI1tbMchZI7jMAtiSuPQ1dg+j9N2jgEurhzgoj8a2za3GDjvofTuj0AgEAgExzFsxyFxHGbQicZj/ppqTdEwTiAcxT3z1igWpFFR1Odxpt2VYkd4k9eZ/JwlSdIc4/cv9maFaAiw4g2tkhg3QGfuLtnX54jCmXRoVje2M917QGyBMdNxGGYdhy7EzkeKeN2I/TsOMwH9XgfCUTS1WRcODzWx4ooeLWH+97gFccehct7MiuOQkut2oiw/p1tFQ8Cq45C/j01tIXy4wdx81Ssr95naPpF5K/ZZbtEqVREHg+EoNyEMAIb3yYfHpzSARDq6oeNQZSFyHieq9Fbnf9K9N4ax16hLkB5ajyj/zkujcJhbxDrHKIYdhwaFQ+o2zK8A3Cbcb1ajStPQtZcRyocBlz1uYEMJuPz/gDKVFWmTvmHudYedC5RUdf3NRJVySnZlme2WTJFguzkhgvIO5/u43LlU/0GHvwbe/Z71F5VlYLOKo1GNnYuAgE4BsZarsAcLh3tqzeeW76nregx1HB5IGIg0+IOaMZqUv3y8DbLV0VGG0O84VF4kDSqz9t30B/gZ+gCw6ZDS0T6lqlQxwULFy+Z2VoRsag8pBqZOh6TYdyaqNNwdUaXKQXt7KMLvOKRZ9ln0u0MdArw+G9sy5mrg8ie0VxDn9wFueVv9N1IgEAgEAoEubjK2ogvKMulEo8iyjDkmxv+1rQG8//WhY38z/YZZIkalGp64lKrFeVbRGuOP6GOx9icD6IkXI/rozN0lCU8Uzsvp/msAWZbx+Cfbcfr/W4S2IHutefFfv8Bn25ST+sEI23Ho4nUcUsehMzsch+mGfq+TdRx6XOYXVchO/ryY3Fm95AeJKk1wfnlAPlebJ3cVe5VzM8Y6Dvnnub31foQ1unl57DxqvSNw3f5G/Y04FPvc3NjjXUdbceFjn+OVlfy0sb98vA1Bh1IzkKlBJR2oRJXGOw7jc1KFaMVZjrXp3x+D2GfUJUgffiIc5idR3OzVKH315Md+JHn9d4moOg45UaVGJtYbiXBYYiKmFEjCcZge51tGmDATuG4uK97GKawErn8RGH+j+nOUDQXGadyfiMMFnPG/ytt4UaX08w8HAJk4xlIUVbrlcEyQcCGMb7o+MP7AjW8DDXusvWionRVCjdBWr32/lgvJ5gMeuyGha4Cq5Th886sDjKikxZbDLVhjcYCUKXSjSsnA3+dx4pKxfU2/jprjUJZlhcAPAKP7KX9vaFwqz3HYQPoNi71uhfONZvNrdhw6U3Phyxu0hxnhMAKEqXBo/37DAw1t+N4ra5jS9KMtAdz+z5XHzr22Z+Is4DsrgVO+C+QljKPKTwAu+D1wzwqg34TM7Z9AIBAIBMcBbuIGov3IdnIcbj/Syixq02P+mq44NjrmzWSEYybh9uBlWCBWc+IA6RfbUolW51iJz81cz6UannCZCcfhIx9txaOfbIOWFrJqT4Pi72BYZkRAF2LXgprCoXAcAuAsxk1SOBzT37w7tqyIPzd98cThAIBWGlWKhKhSGI8qtQM8x2GUHPDpql0BkNSieLpfRuGdvw42tuOGp5dhl4ZpwB+IYF2N8vOVjOoAVgkHgAA/rS4uWJ81Mmby6i01wiHZx2Qgzmg9Aeo4zO9j/blcnpgwyOsxzC3u/K+OcKjmECvoB0AC0PkFCfljEaTeEv72cZLpNwRYwS/cEZugdegM3Kngk0XODy6jL491M237IOZq62iKOUiHnQsMv8BYyfOlj8WOt50L1bdxuIArnwIGTlXeTj8HORI7uSZOjNOTucMVOyZTwOZDMRffDMc69JHMCDoysOYl4Oyfmn9RVy4gOVgxVA89kVo4DrkM7WV+deiQXl3vNY3erPMHj+XXWxEB1+xrxMSBOuc3G1HvV5Y20yJqVrQLY+43J8LpkPDOOvUI12KvW9G3oSYcHmhoR0vCfR6ng/lMC70kqpSz0q6RCoekNJtOFCTG29J4j3Q5DgGwUaVcx6G9o0q3Hm7Bzc8uQy0RneN8svkIluysw3OzJ2P6UJ1EAztQOhg4/+HY/0IdsXGCWFUsEAgEAkHKYKJKybgw04JSIgcazE80VicsPKQpG5mMcMwkvHFwpgVirQn14dkkHGo4Dof3Lkh7bQC347CbHYcbqpvw5Kc7TT+O6ziUYucjxfEpokq58K6pqXBIFx5rcc2kSjz68TaEIsYElaG98tCvnCM2urz47vmj8N+dDThao5zXjkVGygAk5EjWokozRUGuC5LU5b2Q5di8R2l+19yg0ajSyhIfHBI0hXbK4HLrho7eBdbeW1qdAwC/+/dmHGkJcLZW4peVj3VG0iwctvHdhgDgQ2x/zxnVBwvWHmTngTKMfUZdgvTBRJUm4TgEAJ+K69DbKRy6fYCkdqBL6idcl4cVNY3ElSbrOHRxJl6NxJUyjsMsFw6BmDg46jLg0keBa+bE/jvyEmOiIRAT+W56Nea+KBmsvE9yACdcAtz2H+Cka9nHunLYGLggyZmmn0uK3IYAsLnT9TJUMle6DACo3WbtRR0OYOAp5h5TPkI/Mlh0HHK55KS+8JlYyetxOXDl+C4Xbl6Oi1nVVN0Yu/insQ9GsLqyKlPQjkMqHBbQfsH2EHJcTjx+w3i8ePsU5vkuPakvXr97Ok6oUF5805XlceiK7mG985lJBZ54SWnwKy8C6L+DV+Qeh3YcpmpSgzc5EeE5DkMk/97GC1b8gTBue2GlqmgYpy0YwZ1zV+FQk0qfrF1x5wrRUCAQCASCFEOjSmkPYKYFpUScDvP74kxwVLaRqNL8HhpVyhsHZ/pz1hIOsyuqVEsATf+/I5fzPna3QD536V79jTgEwxFmrO8+FlWacL0ookq50GMvEE7Ocdi7IBc3TzU+13vvOcMh8ebFcgpQmOvGvDum4YSBynQktxQ51m3oc2RPVGlTewiPL9x+zIMT5/zHPsdjn2w7lsLECIcq54fSPA/OHWXOcHTNyQNMbZ/IZeP6WXpcGanOqWnuMNzN6Cf9lu6I+Q5NU6j0GwIxx2Gxz41Jg2KmggNyLzTI9vmdsc+oS5A+6AGan0THIaAuWsSdgZKk7jr05MXuV4PGlTYbEA6TdRw6HOzkqxGbMtNxmMVRpanE6Qamfxv47lfA7YtiEac3vQbctxG4cR5QebL6Y6mTjnb5UeEwRWJtezByrP9Oor+2hkjCRj75NpPb3679HQK0hUMbD3jSTUGuGzdPHWh4++tPHoASIirRnsN44XLvQvPvq9WVVZmCdhzSFV50xWBLp2gnSRKGlCsHPj6PE0/cNBGTq0qZSRI1x+EmnZhS3j7wHIdMVKmPCoc0VqVrgM1GlaZIOOQM2lnhMMz+7th45eP8NdXHhHU9WjrC+JfFi3qBQCAQCATHD9Rx2EodhzYSDk/oU6B7WUYZ1bdr/Er/bb4MdL/ZAa7jMEV1AFbROs6G9bbPhK4eWh2Hw7vh38F1HHZjJK8sy/j3+kP6G3IIhlnHodNQVKkQDgH+YtxkhEMA+MnFo3DuKP357PvPG4ErxvdHXYA9QQddsTnH8vwcvPytMxGRlJ9xqTuEh68cg5HlZMG9Ta+7DzS04conv8TjC7czs5K1rUE89sl2XPnkl6hubEcgZDyq9PbThxjeh7I8D66aoFJ7ZYDzT+yDikLz7y8VDhdtOWK4m7EdyrmsHLkDiJo3AxjGX6t6lw8dqCrLQ7+iXPg8ToThwmuRM9O3Lyaxz6hLkD4Yx2GahMPcBBs47auLo+eOoB17TQf42yWSrOMQYPfLkOMwPSLWcYPDAVROijkYR1wAFBpYRUKPG/oepykedltNyzEb/l7ZQpQvdVeaYdTlQP9JxrYtGw6Mv1l/O03HYc8eyP7wghNw+vBy3e2mDC7FTy8ZxdxeqdJzeOlJ5rr8ct0OnGdyFVemYRyH+dodh4minZZb0UeFw6CKcEgch6P7coRD6nrkdBw2tilvKyFRpcxFTlij4zBVUaWcmJCITKNKI5yoUvv+7ry8fJ+p7V9duR8RkyXsAoFAIBAIji88TuVEL3XlUWExk1QU5eKckebmVm6a0rWIsY2kbOT10KjSnCyKKh1Q6s2qSFnNqNJuiFzlOR693fj+BcJRRdWFGUIRmREB3Yg9l+LfxUSV9swFABRWOIwyi3rNCocelwNPzZyEn10yiqmRAYBBZT48NXMSZp9ShW+9uBp/XMguTN3SANz6/AocbQlAkiREiQFkYh83Zk4bBGeExF3acAF+ezCCW59fid0afX4AsOuoH994fgWT7KTV5TplcCl+fNFI3X3wup14atakpBzzbqcDj14/3vSi7FKykL2uVT+iNE4bOHOm6ew51IgqzUMHqsp8kCTpWBXPC+EL0SzbY67HPqMuQfporVH+nTbHYXHX/89RKa7VE9eKKpV/6zkOZRloJJOTZh2HAOt0MyIcCsdh6vGQVW9MVGl64mE3JwgSi6ITUG/WFj5hpvUXd7qBG18FKk7S3q50KDDzTSDHwL5pdhzab8DTneS4nHh29sm484wh4C0Q9rqduPWUKvzrtincFZJqjsPpQ8pwgomLryvH90eRL3tE3I5QhJncoLGtVLRrCYSPCUGsW7HrsflkdXV3Ow5LqOPQRR2HXf9uthcgfY5DbsdhmAqH9lz5GI3Kx+KfjVLvD+Jwc5ojQgQCgUAgENga1nFIokptJBwCwN1nDoXDoOtwwsBiRaczHfN2d/ebXeCJS5kXDvmfxYje2dNvCABeDXdfT3Acup0O067gOMFwlKnscXGjSsn1Zg9fqB0n1VGlcVxOB24/fQg+/9+zMHWwskbrW2cOxSnDynDD08vwwYbDCMqsmNUqe/HZ1qO49qklqGsNIOhUzin2yumcKwhT4dB+193z1xzAjiOt+hsC2FbTqpj3BPTnMu4+cygeuXYc+qika51UWYTX7pqOyVUqdWYmmD60DC98YzLK89XnK13kx7acLGQ3syghCgcCsvL4k43oAFbRiCr1SQFUdXZExh3th1CGO0P3M8dnJrDXqEuQesJBoKNReVu6hMPcBOFQLapUT1xjHIc6wqH/qFLAk5zscxiBCodGVhocjx2HmYYRcMmPYJrE2i2HuyJRA/DgJfkC4w8efgFQPjy5HcjvFet+PP9h1r1Y2B8466fAnZ8ad9O6Ob2dcWy4Uqq7yXE58aMLToCDDDwevGgklv/0HPzq8hNVY10GlPAdh5Ik4c/XjTPUoTikPA8PXKi/estOUOHP53Ey71Gex8VMnLR2xpXW+5UD70THIV1dTSeIgFhuP429HFXBcxwa6DgkjkM2qlT57wpoRJWmSjjkOg7pEE3OHsdhRJaPFbObIRxJYzyIQCAQCAQC20OFQ8ZxaKOoUgA4uaoUv71qrK44Mbg8D/+YOQlSwoZ+MubNJidbKuGJdJkWDtVevztceqlEzXFY5HWjV0H65wV419Q0bSadOB0Sxg8o1t+QQyDCRpXGhUPF8RERUaU86Pe6NRBhHG/FSSykdjokDOmlFL8b2kL43fubjwlkAbDP34LY9fOeujb85K31CDqU19Ol7rhwSBa02nAe7cVl5hJ+GOFQowM1zjWTKrH4gbPx1MyJuPWUKlx/8gDcfeZQvH3PqVhwz6kYW6liGrLAKcPKsfiBs/CX68bhjBG9mIXpNIaUVudMMSlgtpG40la/uYXPptCIKs3rjCoFlFHYy6Kj8WjV34Gh56ZvvwzQM0cmPQmqaru8rKvLLD6VL2O84xAActSEQw1BAwAKSNzf7s+BnZ8CQ2bwe91ov2FRJbMqyBBmo0plmSNi2XMCN6ugbroAdRymJx6WRiAu738bxh7YgRnOddoPLB0KXPFkSvYBHh9wyneBafcAdTtign9OQSye1OwxrTaokRwiOqOT/fVtiljE/BxXzIWoc9XPOA4bus4DY/oX4eU7puHbL32l2u02aVAJ/j5zItOdqMbWwy14ecU+bKhuQigqo29hLq6c0A/njuoDVzeuuK5vVY8ajeNwSCjIdStWEjZ3hFDkc6PeT+JBNaJK2ziOQzrI7V/s5To2C70kqpTjOGxkHIc6UaUJjsNgJD1RpZY7DvV+UzOE2+lA74IcHGkxHhfickjdMoEhEAgEAoHAvlBhkCZe2M1xCAA3ThmIfsVe/OXjbVi3v5Fz/wD87wUjmfE/FUWTiXrLZniOw5wMf85qiwNH9MmefkOAHwMLxNyGete9KXl9zvvYnY5DALh56iCs2cd+L/WIrrZoSAAAIABJREFUdRwqrxO7HIcaHYdW5iOPQ+j17dEWpRDndkqaUbpGoMLj4aYOzF/TZT7hCYet6Lp+/mhTDX5emouEmWyUOrPDcdgaCDNzJHrQBdRaUaWJuJ0OXDimLy4cY66exwq5bieunliJqydW4q01B3Dfq+pzsnROamxlEcZVFmHdgSZDr+VHLkrQNefc2NiIggpr+63/YhqOw86oUgDHokrjLKorxX1XPQDPzk+6bszvo665pAH7jboEqcVP+g3ze/EFODMYiipVWYmlJfRsfBv44AHlbS0HgblXAk9OiYmIlFT0GwLmo0pD7QCtnqXPITCPXlQpnTRP8j0/1NSOJxZtx5p9DYrbTx7aG3eEfoDnwhehQ+atgpJi3Y3f/Cj2nUolDgfQawQwYArQe5S1gafaoKaHx5QmQnPgB5fnGbp4GkA6Dncd9WPn0a7jdNyAYiy8/0wmRgGIZe6/cfd09C7QH3S2dIRw19xVuOCxz/HCkj1YtbcB6/Y34sONh3H3i1/hzD99hq/IcZtO6ohjkMaUxqHCXVxEpI5DzahSTsehkZhSgHUcBsJRhfAHsFGlrOOQRJV2dhxGojLTwZcy4ZDrOORElVLHoc0uYBIxW5B+4ZiKHrvSXiAQCAQCQQzaccjc70q/2GGFM0f0woJOBwa9DPjh+SdwFw3SMa+vp0aVZpHjcMRx4jgc3k0CaKYdhwBw2bi+pipF4oQinKhSyUBUqUNczwDs97qmWTkfUOR1Jy1eF5Oo0w0HmxQJQUGe41DuEg5lGagNKs/NRa7O/bS547A9yKY0mSVV6Unp4tSh5Zr306hSAPjRBSMNx4cHJeVcSmOj+QUGhtHoOHRJUVQVx74vdOH71sMtuG/Ox8oHlFQlr+uYwN5HiSB5WolwmJdkTCmQnqjSVc8Dr88G2lRU+NptwNyrgC3/Vt7esEf5t5V+Q8B8VCm93+EWWeapgBEOiYBL42EtRpU2tYVw78trcOofFuGRj7bFiq8TWLu/ESG48JvwLEwNPIm/ee8CJt0KTJgFnP0z4HvrgOtfBPK0f8gyhpqY4DLmcusJ8IRDPVoDYcxboVys0B6K4Jw//xc3PL0US3fGBgMN7UEmRgEAjhp0X7UHI5g9ZwX+s7FGdZvqxnbc9MyybhMP6/36jkOAFxUaFw7p47sG3lQsSoxtikRl/HfbUcxfc0Cxzei+/N+YXLeTudBvIXGljWSlHXUc0pW5HZ1RpTSmFEjdqnenQ4KbTJSFeUM05hxoX6f7zGmDmH+TFt84tSp9OyMQCAQCgSAroFGlFDs6DhMZN6AYfYuUiRAHG/kdzjSqlMb39xR44lKmhUPehLoksW4Qu+NViSIc3k1djZnuOARiIt/z35iMITrX+3RhLM9x6OZGlVLhUMwLAuxnX0O67Ast9BtSqOOQLlamHXaA0nEIAM1R5dxZkaMjFj8rE2HOZovwi7xu7mJ1LejWRqJKM0nvwlxNl3cZpw/xtOHleOTacbrvzZ1nDGHmUlpajDkVLaHhOASAImcQv31/E/73za+Z+/LCZM4vL8XmFR3sfZQIkocKh/l9kn9OQ45DFeGQ5zis2Qi8f7/+60bDwJu3Ay2Hu25LlePQbFQpdcKJfsPUwESVtij/DiUfVdrUFsL1Ty/FO+sOgqPtAAA+29p1Um9CPubhQuCyx4ErngDO+JH146y7UHUcCuEwzi6TwmFjWxDXPbUUz32xh3v/sl31uPnZZXhj9QHsr+fHlLYFIzjaqi8e/v2zHfjKQJxKRyiK77+ylnHBpQMq/PEGaQBHOGyPiXZ1JOpU6TikwmHsMa+v2o8Zj3yK2XNWYEM1iRPeXc/sk+o+dCgv5qjjkK4Ap6sj445FKhw6JKQ0Lpa6DhnHIQAEyTnRbV/H4YBSH35zxRhD2957znBMGpR8qbpAIBAIBILsRk841LvfDvQtUo7PDjbxrw38JJ4/r4dGlfJEukwLxLw0kIGlPni7WfRKFrX97T7HIfs5ZiJhpF+xF2/dcyq+c9YwxqVU5HXjm6cNxt9unqi4PSYcsh2HLocEZ6IoEaUCkxAOAfaz5zkOk6XIq/wsA+R6nRtVKiuFw1Yoz9cFjgAQ4czZ2Mxx6HE5cM4oc8agMnLsG40qzSSnDeOLZA6JdZzGuXpiJd6+51RcMb4fs5D59OHleP7WyfjJxaMQJTpAa1qFQ/WOQwCY+/kmPPPFbu595VDuV51krbfVKj1zZNKT4EWVJouq4zAhGVrVccgRepY/Bcisk4NLyA+sfgGY8ePY37TjsLjK2PNQqAClJhyGA7HXX0p67QItwMKHgGnftq8LLRvQiypNgdvmZws2YMvhFv0NE+D1pNkatUGNzVZJWaUjFMGSnbU40hxArtuJ8QOKUWXAMZjI7qPK7/iQXuqPl2UZ35m3hunCpERl4IE3v8a3zhyius3eujbNqNJAOIKXlhsvud5X34ZPtxzBuaO7FoWEIlF8tLEG8786gP0NbXBIEk6oKMANkwdi2pBSS5EgtRrCXyI0qrSlU7TTEuvoJElrIIy/fLQVf120Q3V/lu2qw//8fQlevWsa834Wel2oTRBoE7+/siwz2f50pSITVdopHAYipGMnxSuhc90OJOrKTMchwC6msLHjEABumDIQXo8Tv3xnI+P0BACfx4n7zxuBb542OAN7JxAIBAKBwG7oOg5tHq0GAH2LvcDeLofAIZXuc9rf2N1OLLtgJ8ehLMtYtqseS3exsXIFOS4Ew9GsOAbj8GJgge5xHMqyzKT8ALG6GFmWu6VjMZEirxs/vOAE3HvOcKyvbkJzewj5uS6M7V+EXLcTe+uU+xqLKlVeJzoRYYVuJqq0Z36PKfR7TatPUiEc0uSgRCREMcbBCjGV0lE4EEW081o74PACCafifPiBDfPJkzliaXdlQ5Pe51Qye3qVZkoVpTw/RzGvY/eoUgCYOKgYc75kb3dIEt5eW40rxvdXCvmdjOlfhMdvmICHLh+D3XV+RKJRVJb40KcwYe7IkwckTDG3+83NE5uCRJVGZAlOqcsA8NqXWwDwq17KJeU85OKDEgadkPI9VEUIh8c7rcQOm5KoUhVhzJDjkEzOhwPA+jfMvf6al7qEw5R1HBLBihdV2t4IzLsO2L+cvU+OAl/8GVj3CjBzPtB7pLX96OnoRpVSx6E5sehgYzve//qg6d1qCYQRjcpwmIwCSBe7a/34cMNh1LYG4HU7MWlQCc4Y0avrB/M4jSptDYTxfwu345WV+49158U5bVg5vnfucEyuMuZaMhNVumZ/Ixbv0F4hFCcSlfH++kOq9++p9Wvu45IddahTcdKpsWDdwWPC4foDTfjWS6txoEE5QbHlcAsWrD2ICQOL8dTMScoBkwFo7IfxqNJOx6FG1CmdJDnU1KEpGsbZXevHd+atwat3TlNceKrtAxCLlqXOwWIv7Tg0FlWa6pXQrOPQiHDoZbexGVeM748LTqzAu+sOYtGWI2hsi12knzasHFdN7M98XgKBQCAQCHoueh2G2eA47FdMHYf8qNLWAO047JnTczxXWibEuXAkip+8tR6vrTrAvX/DwWZc89QSPDd7MnoV2HtBrizLePOrajz2yTbmPqcErD/QiIqiirS9/t46P7790lfYeJBdePvrdzfhww2H8X83TdBcUJsuPC4HJg0qYW6n5xae49CNCFNrIaJK+dDvtUxCklIhHBb7lNfx0WhsUXB+ezWedj+K0Y69zGNmuhZiumMT7grdhwOugQg4lAtxB2+dA2wk845yFPi/icC4m4BLH7VN6s/0oWW4ccoAvLxiv+62N00diI3VSuea3R2He2r9+MMHW7j3haMy7n9tHd5eexBPzZyo6mQu8rkx3sd36DnIfHLAr20UsEw4AASUz30IZahE1xyjO6Jel1YuKT+3VbUuDJBlOLpp8YX9R12C5Gglqw/yUyAceovBpiMD8Cb8+KoJh9Qd0XJYv0+Q0rQv9uMcjQBNZFBnteNQL6o0GgVeu4UvGibSXA28eDXQVm9tP3o6TFQpcRzSqFKTbpu31lSrxpNqIcsx8TDT7K3zY/acFTjrkc/w/z7cgucW78YTn+7AN15YiTP++CneXlMd21BtIJPFUaUN/iCufWop/vH5LkY0BIDFO2pxw9PLsGBtte5z+QNhHCYZ+1qOxXkmHIAAsLtW/Zy2t077fEf3ywg1nZMRmw4248ZnljGiYSJr9jXiun8sRZ2ByNREDHccemlUKb/jsEzDcUj7D7RYsbsea/YrY13V9gEA4zbMz3ExExNUOAyEOx2HRDhkLhqThF3xJyEsk9voOdFlf+EQiL2n1548AH+fOQkv3zkNz9xyMmafUiVEQ4FAIBAIBAr0hMFscEj0YzoO1RyHyuvL/Bx7T+Kmg201LXj6813M7U99thMbqtMYG8fhF+9sVBUN43x9oAmz56xAO3GL2oloVMaP31yPH76+jntdGJGBO+auxl8Xbk/L6++vb8M1Ty3lioZxlu+ux3VPmb8mTSf0mjDAcRy6EOY4DkVUKQ89USo1wqHyORrbg/jeZB9e9zzEFQ3jDHUcwmueh3DvOAlNEeUiAFdYo7Zq3TzglRtZsThDSJKEh68ci1tPqdLc7hunVuE3V4zhzGfY9/e0qT2EW+as0JzbAoDPtx3F919ZC5kq0wZw5Srnn0MdrSpbJsfyjVsVf7fJOaiVlZqJT1KfAyuD8lxaKxci3A11RXHse5QIkkOWgb1LgH3LlLfnJBlJEI0CW97n2+83vxNT0gH1qFIaCSpZPQSlmEgXTRhsu7zWhVG6X1TM3LUI2P1fY8/VXA2seNrafvR0GMchcdfQqFKTjkMaP2GGTMeVbq9pwVV/W4L/buOX6lY3tuP7r67F3z/bedx1HMqyjHvmfYXNOlGhkaiMH7y2Duv2a/cD7iHHQXl+jqaAkcqL1t06x6AVF5vbJUGWZfzw9XXMymUee+vaVFduqUEdgzQfP05BrlIEbO4IIRyJMjGVpfmJwiEV6gxGV3fyygqlsFvI2Yc4DeTfQS82AF5UaTc5DjlCJNNzSOObs8BxKBAIBAKBQGAUlyP7Ow77FRsTDv0BpeCQie63TPLWmgO4+PEv8NEmNmrvs21HcdkTi/GvpXu6ZV82VDcZXiy66VAzXlquLkpkmic+3YFXV+k7kP7y8TbM/0pbKLXCj+d/jaMt+oLgnro2/Oa9TSl/fatQ4TAYjkKWlNdibslIVGnP+h6rwXMSJ5KajkPlc3SEopjV8Df0lfSNHKVSK+5u/ivqwybnyHYustV8r9Mh4VeXn4iP7zsD55HOw/J8Dz65/wz88rIT4XRIrHBo44U4/1qyB/vqjZmMPtpUgxW7zZt33F4iHLZbny9Wwx8I47G3lyhuq5ML0SYr52zzoC4cUsdhrVwEdJ9uKITD45KDa4GnTgeevwhoIbGM734/FqlpQY1HsA145SbgtVlKwe7Yc38PeO58oPWIhuOQCD0FFerbqlE6FHC6OP2GAwGrVl26X9RxuHKOuedb/QIQybxDLeugQiD9HKiga9JxKPGcsgZJFB+6m1Akijv+tYpxbfH4fx9uwZZale1sVuhslNV7G7BkJ9szwSMclWPiqQa7TPQbxp8zVeiJ12Mri0w/59j+xVi5p0G3gzGRBesOGjqe4rCOQ/6xxMSEtofRSER3t1NCQYLLkDoOzbL9iFJMYx2HXediKmCW+NgLBdoFEu84pMJhqgfavOcL02FaFkaVCgQCgUAgEBhFL6o0G/rl+hYpJwQPqUSV+onjMK8HCYefbT2CH7y2TvM6S5aBXyzYiHfXma8aMcuLy8wJgS8u24toNzo+jNIaCHMdnGo89sn2lP47tte04Msdxq7bAeD99YdwpMV84k464C0KjUjK76QTnI5LJqq053yPtVDr14yTCuEw1+1UCJT9UAvn9g8MP96x70t4whZ67VY8HTPV2IjhfQpw94xhittKfB4MS+gzDYSUi1XsGlUaicqYt8Jc6tdck+dwAMjNUxqronT+OQW8vbYa7oBS1KxDAfxQjhN8UF9sUUY6DutQaFn6sIL9R10CcxxYBTx/MVCznn9/uB1Y+BDw7x+ZEw9lGZh/B7BN5yR8aC3w0jXqAgV19jndwLgbje8HAEy8JfbfVPUbAvqC1T7lCgFdWg6x+yfQhzpiaSwf03FoTjgc1jtffyMVePGY3cVHG2uwRyfiMpF/b1Fx3GWp49BsVOjHm2twRCPukvYbDtGIKQXYi/9k2FvbphmjMKJPAU7mdC6oIUnAjVMG4D2T3Z3BcBQfbzpsePv6VvWo0UQY0a4jxIiOJT6PopMw2dXV9FqX7ThMjCo14jhUDqDDURnhSBTBCHEcdoNwyPQcCuFQIBAIBALBcYyeozAbHIf9ieOwprkD4Qg7ydxGHIc0heN4RZZl/P7fWwxXiPzu35u5718q+WwrP9VHjT11bdhr0A3Tnbyz9qChBJo4++rbsHhHrf6GBlmw1tw1aSgi44P1xq9J0wlPOAyR9JdYVCn5nlLHoYgqBaBf60HnDaxS7O2al7jIuRySbO5cMUqyMG/bsAeoXmX+cWnG51G+520kUjlbHId76vyqC27UWLbL+IKFON48pYlJCrUxi8WT5e011UzUaJ1chDYiHOapRJU6EUEplHNAzc4SuBzdpxza8ygRWCPUAbw6i+2B47HyGWDjW8afe/d/gS3vGdv20Dpgx8f8+6izDwCm3gU4DTqhXLlAXnns38o4DpMRDnWiSq2sPEjDaoXjHkbApR2H1HFoLqr0ygn94XZaO8Emupa6GyNRI4msrla5iMlS4XC9yajQSFTG5sPqK8eocDhYRzi8Ynx/U6+fSH6OC4m/6S2BsK7T795zhhteQXTV+P4YVJaHI83m+yGMPiYQjjAdn6odhzQmtD2EulbtfsQ8T3KTJANLlefvQi+7D3Ea21gRk8IbQHeEo2xUaYoH2lSwBERUqUAgEAgEgp6FnjCYDY7DYp9b4YKJykANiW4MhtlFacmmcGQLK/c0YGuNcZfPoaYOLNpyJI17ZG2RcKarTHjoVXak6jFqmJ3st/qYdOBwSMxkfFgmUaXgRZWSjkOHEA6B7okqBZQLgXtL5o9lLaeXJs3V1h6XRqhw2B7SEQ5t2nHoN7H4IY6ZBRNxckhUaR46UOdPbe9qdUM7SoljsF4ugF9WaiA+lajSErTCIXWtsgnILsw4aZhiIX66sedRImCJBIFPfh3739qXWScWAGxawEaTarHs78a3Xfms8W0BYP2b/Nt5DrGyocDVTxuz9Ic7gAX3AH8awu5/Xi9z+5iIXlSplefOK7e+Pz0VpuOQOg6T6zjsVZCD/5lYaWHHMhtVuvOIuZLegKwyCMvSqFIrUaEhjZVCu0wKh5ee1Bfl+dbeu6pyH/qXKMUdPffoGSN64aHLT9R97lOHleF3V48FYG3QZ/QxDX7lsZ/jcjCD0jis4zDMuPxoP6LL6dC9sNDimknK7zTrOOwaRDYwUaXsd8XhkJhJqY5QJP0dh0aiSiNEdHYJ4VAgEAgEAsHxg65waHERaHciSRL6FWn3HLaRmFKHZF/3R6pZstO8w81obYVVaE97uh6TbgLhiP5GBCpgJ4Ne1DD3MTb6TtNrQNZxGGGvoUVUKRfeothE0iEcBmD+Odtli3NkNlyU72Uch8rfGXp+sGtUKW9xdzoeI5H5ZJ8UsLQgn0d7MIJXVuxDbWsQ5ZyoUaOOQ9pv2CgV4YcXjEzJPhqlZ4xMjgdC7cDiv8T+9/bdwF9GAR//EggnTCKum2fuOQ+sAGp3GNt256fmnrt2K/92tU66E68EZr0FVJxk7PmDfiBIVql9/kfgv3+01t+oF1U68lJzz9dvIlDYz/x+9HRyiHBIBXLqpjUZVQoAv7zsRENRkP1IPKUdVxSq0QGVH80sjc2oKDQfFVqhEi8qyzJ2H/3/7J13fBR1/v9fs303vUMglYTQO6EKUhTswiGioifFgp565089T73T752e3tk9PVHRE+xdUcCCIqAgvQYSSggppPdsL/P7Y9lk5zNlZzab/nk+Hvc4d+YzhezM7Gc+r8/r9eZeV4FqHBq0arx03RhZQlFOEvcaTo01IT2Ou/9AdQ4B4MYp6Zg3vJ/gOo2KwQPzc/C/m3NbO+RjUqID7pNkbKq8SFRy1lVcmE50hhO/xqETtQJRpSTB1nTJTgzHBVncSRr8GodSUaXC94pBQDgkZ+h1ieOQhDoOKRQKhUKh9CIC9bd7guMQAJKjpYVDs4OMKdV0qoOgKwnGTRLMNkq4IFvZRPGUWCPvHa87kBTEe3NiROgmF48coPyddMSAqJAdv73whEOWLxzynlG8qFIqHAKdKBz6RZUe9GRJtBQmnw3GWMDIH7vuRMgSMDanB+7zk/DdHhZON3esvLtOVhkYY0ROUkTghn7MHZqk/ECEDmCEHdXN7RcOCyqaMfe5rXjw8yNwuD28qNFaNlJ2jcM4QjiMTkgWHevsKLrnVUIJjL0J+PUF4IMlbeJhfZHy/cjZxuPhO7/kIBQjKeUQy5gB3LYNWPkjkH6B8uN5XMCWJ4DvHlK+baCo0okrACjoyOfeovwcKModhwqjSgHvLJx3V07C1EFxgusjDRrcNTsL80dwRZuuFA4DOeJI7KLCYc90HF41RpkIn5UYjuHJkYLr6swOjgNNxQApsYEF6KmD4rF2eS5PUPZnycQUTCVErJRYE9LiuPuXW6/yhEiET4xJhzsuzOK82CwcO1CRa29wUrjsWooVRHxMbLj4bC5eTKjNKas+IhnNNHNw4Jf3GJMWry4dBxURKcOLS7X5R5UGdhwC/Bcdm7Ob1DgkEZuMQ6FQKBQKhdID0QZwLPWEGocAv0Y6GcdICmHBTqLriYhN3JMiRqRMQqi4cYqysjfX56bx3kG6A5ePUvberFExopNVg+HKMcmKylD0izRg9pDEkB2/vZDPFwfL/ayBW6DGIY0qFSKQKNURjsOfPWPQrJd/PbtUeqzQbFJ+0OyLgegU5dt1MEYBsdYXVypUu6+7CocMwyh+Ji+dHETpMtJxCDuq2ikcltRZcP0bv6HMb7IQP6o0EhaWcByejyqdMyQRd8/JRmqsCVo1g2QNd0xQHxW657VcuudVQpHP6R+Bn/7u/W+FRWABACoZl4BKBeiFB+El0QvMEAg0yMkwQOJQoPyw8uP5+O2/wOmflG0TKKo0IQeYcb+8fQ2aA4xcrOz4FC+kcOh2cF21pKAbhOMQ8IoCZNH6sSnReG7xaOx6aC7+38U5vBcaf7Gps7lmgrJZUCPSRESXHhpVeuWYZNGaekLcPDVddMYuWd9wYIxJdkTDlEFx2PrALKxeOg7zh/fjTSW4c1YWbzZxSkxwjsOiGjPvXH3UmO1wEiJWlEmLldMzA/8jzvPHuYMDzmouqbPgsfV5uPO9/ZzlpfVW/HCsEqyAu5t0+7XYXahp4Xa+YsP41yEZfbpq5iDcOWuQ6KzzCWkx+HTVVGQl8n9nlDgOxQYh+MKhG3YnGe0RYuFQQPh1s4GEw86dbUahUCgUCoXSkfSGGoeADMchIRya9N0zMq4jCMYZMqeDxaUxKdFYOE5eXfvsxHDcpHBQu7MYOTAK41Llu/4uHdkfiUG4FMUI12uw4gL576R3zs6CphtNBiDfPR2k45ChUaVy6SzHYZSfcOiBCtsHrJC9rcZjR6RIRKQojBq44F5l23QSahXDG6PwxZWSMaUaFdOt7j2SxRNSMDFd3kT3W2dkIqefMociAJ4+YWJs7XYcPrUpn5e4JRRVynMcMjZoVAzunpONey8ajG0PzMLJJy7F05cQk0HaU6ItSLrvVUKRz+41wDsLgYZihRsyQHyOvKZZc5Xtut9IwCjQYZEj9BxbD9gbA7eTYtfrytqT50U62wBg1kPAzD9L72foFcC179J4gmDRGgGGeCz5XIcsy3cgtsNts+9sPefzqgsHYeG4ga254GRHpisdh/NH9OMJnVIsmpQtvKKHRpWadBq8cO0YXrFyIS4aloTrclNF1yutb0iiVaswf0R/rL5xPIYRrsbDpY0oruMOCqTGmpBGCIdyHIc/F1SJrmNZ8MQ4APjTRYNlvfA+dOkQXDqyP295s82Jd3YW4cY3d2HGv7dg5tNb8PaOItiI2WkNFiduWbcXD31xFB6i/mS4TgN/PZJlgeI67r83Nox/HYYTjkOr04375w3BY0Stx5QYI765azo+XTUVgxKIiQbnUVLjUDSqlHghtDndAo7D0A7wGAT25woYVUodhxQKhUKhUHoPgWsc9owhrORo7qDguQbu4LSFiCol+8K9mZx+EcjNiJXfPklZ+2B5auEoXD6K/45Ensu6Fbm8tJTuxL8XjZIlygyMMeKRy4eG/Pj3zMnGgrGB30lXTs/A0kni7+1dASm6OD3cz1q4+ZNHaVSpIGTpD380KoY3cThY/KNKAWB7+CXAjAdCsm8ejBq46mUgdXLH7D8EkM8m6/nfGrLsSnd1G/rQaVRY8/uJmJYlnBTnY+X0DDw4P8iaf4KOQ4VCsh+VTTZ8m1fBWx4LQjhkI2EhamuGM3b8e9EojCZLELUQ44LhVDikBIPL6nUeKiX7IiBK3qwqTFypbN8TbxF2KcqJlqzKU3YsIU58C1jrA7fzQTrdyFp6gNcNOeshYMz1xLZhwKhrgRU/AIvfCdoFR4H3b8yLKz3/XbjsfFetVPStBHVmB09AGkfENpKRi41dKBzqNWq8duN4WQXY/zArC9NyRO7rHhpVCgAzBifgrZsnQsoktyQ3Ba9cPw5qCYGRdPEpFQ79GTWQ+6N+qLQBJYRIlhJrQjoRVSrmOKxpseOVLadw9Su/4qlv8yWPXSlQtFmtYvDsNaOxJFc4NiMtzoR1y3Nx64xBvHWf7y/FlCd/wl+/ysP2kzUorrPAE6Bc7Ae7i/H099x6tioVgwiis1pE/HuFHIdkB7fl/CxsK+Hym5gRG7AOBi+OlSq3AAAgAElEQVQu1eofVUrWW1QQVUrWOAzxwJWg41BKOGTUPXYyAIVCoVAoFIoQgfpX2m4+2OkjkOOwhXQchmgQvafw2BXDZUVa6tQqPL5gRKfUf9RpVPjPdWPx1s0TMCsnAf6vlEP7R+KfC0biqz9MQ/+o7l1jPCsxAh/dNlnyPXf0wCh8fNsUJEaEPr3E9076+NUjBM9hSL8IvLhkDB6+bGi3q+tJOpodxLuYWjCqlEimolGlAACNWiU68TvKqA3Zdx9NvM83Wh3A7Idxbv6b2O3hG2UOejLgNgXhYM68EPj91/zx4G4GGVfqm6RidxLCYQBHaHcgyqjFO8sn4X/LJmLOkESE672T1OPCdLguNwUb7p6ORy4fFnxsNDEJ28jY8X1eBb44UAobMQ4lh58LqlprSvoTRzoOBWocTkzWYeE4gaQ5czX3cxc4DulUiL7M1Lvlt02b6o3fPPJx4LYDc4HR1wHH1/PXyRHVBOLvlMMCzRWAUZ61mefa8Li8EZkaATdKYyn38yVPA2NvCO40KXx04d4anj58LkMyppRRA+rgah3sJ9yGGfFhiA/nihl811LXCYeAt2j4Z6umYuXavTwHFwBEGzW4b94Qb7a3kGMWEL6eexDRJq3k42HppDTR+KKztWa8v6sYH+zmOrPjJer1BWL0wCh8sLvt89aCas4gAMMAA6KN8LAsGKbt0dZgcaLB4uC43d7+9Qz+uTGf52rzoVUznGLWlU3CM6EYhhHMtgeA2UMSMUOgduDHe0rwwGfBxUO/sa0Qy6amcyJuIo1ajsuvtJ47UCIUOxumJzu43u1rCWelUH1EEvLetbs8sDndMGjVqDeTwqGI41DDjyrlCYchHrgSchxK1jikbkMKhUKhUCi9DK1aegBQ30Mch6S4VN7I7Q/7+ro++lKNQwAYlhyJdStyceu6fbxYNx8RBg1evn4cJqZ3vNvQB8MwmD0kCbOHJMHmdKPR6oRRp+a9X3R3hvSLxA9/moEtBdX4dF8JztZaoGIYZCeF49qJKZiSGdehop1KxWDp5DRcn5uK/cX13uOrgEEJ4Rg5IKrbCYY+eDUOBRyHvHdANykc9q17WQqDVs2bJAGELqYUAKKJfTWcTxg6mzAL1zmMyGTOYRBzDgxYFLH9EAUzPrH8XdlBhl0NLF4bqlPuUMhJKK3Coatjy650FCoVg1k5iZiV4xV7WZYNyfPD6nDj6e+L8De/ZSbYUN3iwJ8+OoQnNuTjucWjBcfPxKgz88eM9XAgnIjDrUUkLIRwGK0W/h3kC4edXxOWPtH6KvOfAjIukN+eYbyWbNYDHP1UvF3qVGDJe0DtSaD2NH/98W+AEQula61FhygvXomopNF7IzL9HW2OFkBDdFJZFqg4yl2WxI3So7QDlgVUxOD52R1AwhB+3UldGCTtZxLsJYTDcal8gZlfJ63rahz6GJwUgWlZ8SjezY8lfuaaMZg77Hy9CI3IzMEghdbuwpb8asn1+4vreW40t4fFPzcex1u/nhEUHZ/74QRUKgarZg5S3AEhYwQKKrmFi/tHGlpfLJKjjJwCyUW1Fow5L1qt2V6IxzcclzyWv2gIAFUiwiHgjUwVoqaF3xmpaLThkS+PCrSWh8vD4sM9Jbh7Tls8boRBC6Dt30rOuooTEGvJwZIWu7djW0cMJMSFB3bNGrRq6DQqjtDXbHNBzfBrlZIzFH2Q7j+biy8cdkqNQ0nhsHvPdqZQKBQKhUJRilrFcCbckfQcxyH3faze4oTV4W4ti2G2cwdxu3P0ZUcxPi0WP913IT7bV4qP9pTgdHULWHhTUhZPSMHiCSmK6tyHGoNWHbBOW3dGo1bhomFJuGiY8pqSoUKlYjAhPRYTOlH8bQ+kKGgn6s1rZEWV9iyRuSMxaFUQqLDCG2trD2TpEZ9wWGv2HriQTUYh21Yn7hr1z8oPYqkN+vw6G1I47KlRpWKEQjR0uDxYuW4PCk414W9+P9UmtF2sNS12LH97D968eSJmyhQPwwVqFccRMaVmVg87dDCzxJgtOd7tg4wqDYuXdS6hpGdeKZTgSRjijdOcvEr5tho98Ls1wI1fAkMub7PgMyog/QJg0f+Am9YDe9YAr04F6s/w9/Hl7cDrs/iuPX+GL2i/wGGIBqKE4/oEEYrIJB1ugNfFaK3z207l/ZtS2k/RL8Dq6UBjCXf5hnu911PhVu7ydrhtSMfh+DS+cMircdjFjkMfx84Ji0KcKFWVSvge6sFRpQCwhaj7R7oFDxQ3cD6zLItHvjyCN38RFg0BwMMC//62AC/+eFLx+WQnhvNq4fmTEtt2jaaJxJUW11rw5CbpWFIhhKJKAcDl9iBP5BqpFshr/2B3sajLUS67z9RxPkcGiNQVcvmRgyWW8zMTyRnIcgcPyFnBa3ecwUXPb+O1+3hPSWtn2h/BqFJejcMQC4dKaxxqQx8tRKFQKBQKhdKVMAwjWeewp9Q4NOk0vAlq5/xch2bChUOmb/QVooxaLJ+ege/+NAMnn7gEp564BD/9vwtx+8xBXSoaUvom5PPFTjgOBaNK3cQ4EXUctiL0fguE2HFoIh2H3vEDcgJyX8FICIfm8+52vuOwb/7mAMDbO87g11O1sIA7PmpgnFChbczH5WFx70cHZceWTs7k12OMFYgpBcBzHIoKh+Ya7udw6jikdCSpU4Blm4J2aQHwbjtolvd/Hrf34taa2goA//I8sOUJ6X1U5QHrrgJWbhaOEg1P8MaiHnw3+PMcu1R5LKPWRERkCgiHlUT9xbhsOngbCvI3Ah/fxJ+t5aPqGPA1Ea0bZC1Jh8uDQ6VcgWlCuoDj0EBmpXe9cOhye5Bf0Sy4zjejqhWNAXBzO0sFNXa8/9VRtNjdiDFpMWdoEiZnxnZIVEhlkw1fHzqHsgYrNCoGw5IjccmI/opnbbrcHmwpqMbeojocLOF+b6suzMI/vjnW+nl/MVcQ3nayBh/sJoRoEV7YfBLzR/TDkH4CtVlF0KhVGJEcxXOw+uAKh2HYcbptplpRjff58t6us4I56IGoEHEcnqhsgc0pLARWN/PFxq8PnVN8bBIyfiTQDEKhuoLkYEmLSFSp3GjZSKMGNX7bvrxFwAEP4B8bjuPT/WVYu3wip8YHXzgUiCoN8cCVkAhNo0opFAqFQqH0NbQqBmJDvlKiYnejf5Sx1f0CAOUNNgxK8E5WNhMT1/paVKkQ3TW+ktJ34NU4ZLnvhFq4uSkxHg8A4l2eOg5bEUrUATpYODw/bieUtgQAhZ7+yg8SN0j5Nl2EifgtsYrWOOw5v6WhxO1hsW7nWQCAFfyxJRNsaEHbOEut2YFvDpdj0XiB+oME2UkRmJQRi11+E+vjGO74bR28441mQrRsLdHlD8sCZtJxSIVDSkfSjmhHQVRqwOA3yN5cAfz0uLxta08Bv74EzH1UeP38fwLlh4DKI8rPSxcBTLotiO2IQVihG7eSiPTrN0L5cShcGkuBz1aIi4Y+WGKWh1a82LcQHg+LX07V4KuDZRybfqRBg6yEcF77SCPhgHK44XR7uvRltbDGzIsY8FFLdow0Bq4QDuDjA5VY6z7b+nnNL2cwOCkcj189ErkZoYkPqTM78Nj6PGw4Us4TxB5bfwy3XJCBOy7MCljAmGW9P+iv/nxaUCQL12tw0bBEjnB4ttaC2hZ7a5zl2h1Fis593c6z+OeCkYq2GZ0SLSocpvoJh6QwtuaXQpgdLqw/WKboeD7EahweJkRxfwSjSiUiT+VCzgaWqgESbdJCI3APkR1c3yxscqZgbJg816ySOiTHy5uw/O09+GzV1NaZdwbipdHmdPPuvc5wHEoKh2KRxBQKhUKhUCg9GK1GBQgkQgCh7391JAOiDThe3vY+ds6vbIGFmHhn6oNRpRRKd4Mc67G7uZ9VDAu9ym+MQ2gMizoOWzF0huPQyB2LsDjcsLvcvAnIPvaxg1FnTEOs9azgekHG3tSeU+xUSMehpZdFlbaXgyUNKK33/hazUMHK6mBk2sacjLBzhEMA+OpgmSzhEAAemD8E173+GxxuDzRwYabqEGd9A+sdx7bIiSq1NxFmEAYw8V2NHU3fvFL6KuEdnG2+by3gUVAHbv86wCX8MIchCrj5G28RWigQO7Vh3hqL0anyt/Hf1h+hqFLScUjrG7afPW8K/60DoZMvHH57tByznv0ZN721G5/t5wo1DMOvTQcARq0aGkLcarZ1bZ3DY+eaRNfxisoLiAp28DtoJypbsHTNLmw9IV0/UA41LXYsenUH1h86J+iia7Q68cz3J/D/PjkEj4TLjmVZPLo+D4+uzxMVtlrsLtz2zn5eBKgvrrTF7uJFmwZiw+FyRe0BYNTAKNF1KbFGuNwePPLlEazZzo1ubra58Pq2QlSIRI4Gokpku0Mi9Q0B79+fjKgIxeDLxUTdDFJ090csciicF1XqPU/yuo6TG1Wq8GXkaFkT1h9sc1+SjkO7y9PhnW1hx6FUVCl1HFIoFAqFQul99IaoUsDrOPSHE1XqIKJKdX03No5C6S6Q73dkVCkAGNR+74RkTCnQVtKJIlrWJZTCoUGr4o1pNFqd/In1rTD4JWGJ/AOkTgUGjAv+BDsZk5YUDmlUqT/kBHwyrtTE8MfZxMbehBifFoOXrxuDW7Wb8Kv+bizXfMtZP011FI9p3sbKCzK5G7rt/OdJCzFGa4ptS3vsRHpOr4vCR6l7cPjCjjkPHye+DdzGH0sNULZPfL0xGli8FrjnIDDjAW/tw+z5QL+RfFGEUXnrLq78AcicqfzcAb4QJSeqNIk6DtsFywIH3wtuW5lRpe/+dha3v7sfZ2uFxclGqwvXrN7Ji7lkGIZf57CL40rFatcB/EhHaPjOLKeIydzh9uAP7+0XzIFnWRa/Fdbi7V/PYM32Qnx7tFw04/vejw+hsEYkm9uPLw6UYe3OItH1H+0paY0PkOJ4eRMvPtL3Pda1OETrGoohJKwFYvTAaNF1KTEm/PmzI3j3t2JlJyKDSoF6hYC04xDgO1NHSZy/HCINGlw5JplYJv4iECtQ3xDg1zhssbtgd7l5Yn2c3KjSAHUWhXj3t7ZrjnzJEYwq7Ywah6xUVKlRfB2FQqFQKBRKD0VKHOxJjsPkaEI4bPCvcUhElVLHIYXS5ZDPF5ugcOjvOCQmljMqQNVznlEdjViZmlAKhwzDIJrYX6PFyS/l48ePxvnAuN8H3nl0GrDordAm93Uw5G+JlToOOZD9C9L5ZwL/ulHU72BZXHz6CTykfgdJDH9sTst4cLPme6wq/TN4JinSdWgmhMOwBPnnEUJo76SnoDEAiUOBquNty+KygJqT8raPHQQMmt0x5+bDKhzX1+5tYtKB2Q/ztyvc6v1/XTiQNgWIkmcdFoUUopzETeuyAzUF3GXUcdg+7M1AS2Vw28pw2xwubcDfvjoasF2L3YVb1+3Dz/dfyHE+RRq1HMdTV9c5PFbePsehgxV/5DfbXfh4bwlun9mW3/7ZvlK8suUUTwyMNmlxfW4q7p6T3doZzK9owjYFrsU128/gpinpUBOuTo+HxWvbCmXvp7yRK6D5HIfBZLarVQy0Cjv6pfUWqFWMoMPy6e/ysetMEM9FGTRYnLA53ZzOuM3pRgFRA9OoVcPqJ/RWN9s5gxjX56Yq+t5IHl8wkhczKuX2E3MckrOsLQ436s3c+82gVfGOJUYwgy+HShthcbhg0mmEaxy6O1o4VOo4pMIhhUKhUCiU3odWLT5IK7Wuu5EczX0f839vsZCOQ33fdH9QKN0JUlRwuFm4oYIabe+BRpXfOyEpHNKYUg6dIRwC3vGpquY2wadB0nEI1FmccF3zPP69y4HbNV8jliHKVDEqYOgVwKXPAOGdX1OuPfCiSs+PBZGT//tqjcPhAyLBMGg1GfAch+BP0B8pkTLGY/cbwIF3ArcrP+h9Xvg/Qxxmr4HKB6++IRUOeTQ3N+Odd97B5s2bUVRUBIfDgcTEREyaNAnLli3D4MGDBbc7c+YMXn31VezcuRP19fWIiYnB5MmTceuttyI7O1v0eB6PBx999BE+++wznDp1CgzDICMjAwsWLMD1118PtVq8MxfsMWWj0QOzHgY+Wtq2zOUE4rKB2gDiocYALFjd8TNf9BGdsw0AGGOA4VcHt60YpBBFqv01J7g3tSEKiBwQ2nOgyEdGVOma7WcgkYjJoabFji8PlGHp5LTWZaRrqcnWdcIhy7LIk4oqJTpGbrWeJzk4BKJK/fnETzh8alM+Vm89LdiuweLEf38+jT1FdVi7PBcmnQaf7C0N/I/wo6zBih2na3BBNvfHb3dRHc7IcC2KsetMLRa9+qtoMWwpRg+MClh70Z/P9pXi/k8PiV5jHSUa+qhutiPFr47isfImuPxOJsakRUZ8GPYXN3C28Wfu0ESMGBCJo2Xi15YQOo0K/1wwEleOTuatk3L7iTkGhRyHNYSLNk5mfUOAH9EhF7PdLSIceuAgY15DHJWlFzhnyRqHVDikUCgUCoXSC5GMKu1BLgkyqrTMz3HYQtY4lDk5jkKhdBxaDXcswOH2wA0N1GgbWzCoJKJKaUwpBzFXm9KyIoGIJlKNGixO3liCP/UWB5rtbrzuvgJr3fMwT7UXI9VFWDllAJiogcCIhe03pnQR5DiIuOOwb05W6R9lxJwhidh83CvKWYWiSonxvRsmySyF5nEDO16SfzLkxINu6jjstr2uoqIiXHXVVXjxxReRl5cHl8sFjUaDsrIyfP7551i4cCG++uor3naHDx9uXVddXQ2DwYCqqiqsX78ev/vd77B582bB47Esi3vvvRePPfYYjhw5ApZl4fF4kJeXh8cffxzLli2DwyE8EB3sMRWTOoX7uaEIuOZtIFLigRbeD7jxSyAlNzTnIIXSiFBdBJDcjbKideHcz2RUqVBMaQ+yrHdL9BFAWJAzeAI4DptsTmw6qqxm3cd7SzifyQ5Nk7XrahyWN9rQYBEXLmta7GD9sjmF6hk6pdxLAM7WWsCyLD7bVyoqGvqzp6gej3zhdXSerm4J0JqPkEB4UqDepBI8LLD3bAOKRKJppfAXjQNxuLQBD3x2WLYwHQpITdOXz15vdmDN9kI89PkRzvqRA6KQGMGd6Ux2oDVqFdbcNBGZCYGFeL1GhYz4MNwzJxvb7p8lWiA6KMehnp/FT0bnyo0pLa23SIrsYqgYIOK86Em+5HROVKlCx6GAq5hCoVAoFAqlpyMlHEqt627wHIcNttb3NYuDOyGNrPdNoVA6Hx1hFnG4PHAz3GU6ld+9Sw78d0H9se5MpzkOif1VNdvQZBMfu6s3O1tNAXbosN4zFa/qbgZz6b+BaXf3WNEQEHAc+mocOmlUqY87Z2VBc35wzcKSjkNyon0ShifLdBwWbgEaSwK3E8NBjKmSNQ67yP3aLa8Ul8uFO+64A2VlZRg4cCDeeustHDx4EAcOHMD69euRm5sLp9OJhx9+GHl5bWJOY2MjbrvtNlgsFsyaNQtbt27F3r17sW3bNsyePRt2ux33338/ysrKeMd89dVXsWnTJphMJjz//PPYv38/Dhw4gOeeew5hYWHYtWsX/vWvf/G2a88xFRMWD8TncJfVngSiCNebMQ7IvBBY8BpwzyFvjGdnMGE5eBm9UoxeAujDA7frLAJFlVYSkZe0vmH7YRhg7A3BbRvAcVhSZ4HTrUzVKazmfuekANKVUaWkEDKIEHrsLg/M/i+gQlGlARyHXss+i1d+PiX7vL44WIaSOuUinRidKcT5k5MUgctG9Zfd/rWthYLxpB1FjEmLEUSHpbzBhud+OIHJT/6IxzccRz4RU3qguAEuD7eDSDoOAaBflAFfrJqGecOTeOu0agZXjE7G5ntnoODxS7Dlvgvxp4sGo1+UuGglVeMwRmaNQ7PdzRMOxURHf9YfOofZz27F7qK6gG1JZg5OaH254TkOXR5eVGmoO9tCxeNdko5DeXVeKRQKhUKhUHoSWok+VqgTHzqSpEgDZ56x1elunQhq5jkO+6b7g0LpTpATQ51uD1zERE69fxMP6TikwqE/Qu+3QMdElfpDjuuR1FscvLE9qdSkngTpXje3Og6JqNI+LByOTY3Bs4tHQ6NiYAZ3XMvoJxyOS43G89eOlr/jqvz2nVhAx2F8+/YfJN3ySvn2229x+vRpqNVqvPzyy5g2bRpUKhUYhkFOTg7WrFmDzMxMOJ1OvPbaa63bvfPOO6irq0NKSgpeeuklJCV5B0GTkpLw0ksvYfjw4bBYLFi9ejXneC0tLXjrrbcAAA899BAuvfRSqNVqqFQqXHbZZXjqqacAAB9++CFPAAz2mEFDioD5G4DSPdxlyzcBN33lFea0nehIiM0EJq+S1zY8Cbjg3o49H6UEiiqtIIVD6fqGbg+L/cX1+PZoObbkV6GqiZ+VTAEwYQWgCSJyrwMGzf0dewBfAOnKqNJjhHA4OiWa1+Gq9XOT6Y18YVXIhejPoIRw7CmqD9jR8odlvRGn6XGBHWskaQLbpMZ1vhiSER+Gt5ZNlB3XUNtix3d5FR18Vl5MOjWun5SKr++ajkGJ3IkWb+04g5d+PMmLnfDRbHfhp3xuLnq1SGRHlEmLiemxnGUT0mKw48E5+M91Y5GVKD9WOtIYRFSpLnBUaSDhcEt+Ff744QGeM1AuN05pc5wK1jjscMehUFQprXFIoVAoFAqlb6ETqWOoUTGKygp0NWa7i+ckXL52DzYeKedFlQZTn5tCoYQW8tnjcPGFQ4PaT4BxkzUOaVSpP2LjK1Gmjo0qJdOw4okxCIvDzZtQHer41K6CnIQiGlUaZGmX3sJVYwbgo9umICIikrM8jLFBr1HhT3MH4/1bJiNCYlI8Dza4cahWeMIhWeOQOg5b2bp1KwBg0qRJGDp0KG+9Xq/HVVddBQDYs8crmrEsiw8//BAAsHTpUuh03AeDVqvFypUrAQAbN27kxI5+8803aG5uRnR0NBYsWMA73sUXX4zMzEy4XC5s2LChdXl7jhk0qVO5n498yr04o1OBeOHaj53CxY8DY5dKt4noDyz9HIjk18bqUkgHm8Pi7Qgc/xp4bzFwZht3Pen+9G3m8uCNbYWY+fQWLPzvDtz+7n4se3sPpjz1E25/Zx+OlDZ20D+ghxKdAvzuDRmzs4iXRNIhSjAwxtRqP5dLBuHiIwWQpi5wHLIsi71Fdfg2jxu7Ojw5iifC+Nf1UwtMGnCy0p2DJRNTcLxcecTjsfJmXDNBWZxDcpQB0wbFcZaVN1qxt6he8fcWLJEGDVZdOAhf3jENA6LlizAnq1o4tQQ7itVLx2HXQ3PwzwUjMTDGhMRIbozCAb/ahWKQpymV9V9IRMdOzYpHQoT8uoI+pByHsSJ1CsnBEqGo0vhw8XNxe1j8bf3RoB2rl43sj1k5bR0xcnakoHAoUfc4GIQKlNMahxQKhUKhUPoaYnGkPam+4Q/HKjH9X1vQTMTlHShuwB3v7ecNWlPhkELpeshnjMPlgRPce1PHSEWV9g7xKVR0VlQpuT9SOBwQbYSROJezRGkbqTGMnoRoVCmvxmHP+T3tKManxWByTgpnmRF2jE2Nxj1zs0WvX1Fi0tt3QmRUqbmG+5nWOGxj2LBhmDdvHmbMmCHaJiHB+wdrafH+YQsLC1Fd7bVxTp48WXCbKVOmtG5z4MCB1uW7du0CAEycOBEajXCHbepUr2C3ffv21mXtOWbQpBHCIVm1M/virq27p1IDV74M3PCp91z8xZ7IgcDsvwKrdgD9umHMJykcNp8D/jsZ+GgpcPI7gOVau/HZCqD8EGeRxeHC79/ajSc2HkdpvZWzzu1h8W1eBX736g5sOqKs9l6vZ+gVwI1fAAn8iQIAvNdOBvE80Eo73KKMWswb0U/RaSyewP3RIDsgne04/Hx/KS56fhsWrd6J4+XcGMpj5xoRS8ys8nccKo0qjQ/XYeH4gUEJYm6PB8OTozA9S751fvn0DGjODwqwLItXtpzC9H9twStbTnWKKAcAf5qbjT/PH6J4xltnRJRmJoRh/oj+nBlO/SLb7yAXiir1UUh0sMk4XLlIdbrjZNY4dLpZVDRyXdpSjsNtJ6pRUmcVXS/F1WOS8dy1o8H4/XYaiNmRdqdHYJZeqKNK+R1T6ahSKhxSKBQKhULpfYgJhz2lvuHPBVW4/d19PFehP+TrRBiNKqVQuhyecOj2wMVyl+k5wiGNKpVCKKpUrWJC/rwjo0rJsdi4cD1vLOFsLXfSdKjFzK5C1HHopFGlghA6gAl2NFnFf7slyb4YMMUFbicG6ThsIRyHtMZhG8uWLcNLL72EZcuWibbZv38/AKBfP68wcPr0aQAAwzDIyMgQ3CYmJgbR0dEAgFOn2mp4+f47MzNT9Hjp6ekAgJMnT7Yua88xg4b1SEc0dqXb0AfDANkXATd8AjxYDNy1H7j3OPDHI8CM+wBTbOB9dCIutwe1LXZYQLhZ8jd6a0iK0VQKvH0FUHW8ddH9nx7GzsJayeM53B7c8+FBHC4N7BbqU2TMAO7YCdy8EYgh7qeZDwB6IioxgOMQAFZMz5Cto8eG6bBgLLdeKCmANAb7A6IQlmXx5KbjuPfjQzhV1SLY5rP9ZThDOMRq/R1aAo5DMeEwXK/B6qXjcaS0ERsOKxe1B8R4BYznrh2NNBlRo5eP6o/l09q+45d+PIWnvyvo1JqBAOAM8nhK3IlyIWv/5abzn5NJIRAO/V2pJGREbWZ8cDVowyXqA8SIiH86tYrnNC0mameKiY4AsKWgSnSdGMOTI/HZqil4YclYXowKv8ahkOMw1FGlAo5DKZcwrXFIoVAoFAqlF9KTHYdOtwcPfnZE8XsNWZeKQqF0PuT7ncPF8qJKdSq/e5sXVUrvY3+EokqjjFrOhN1QEG3kjhMQFYgQF6bjiYtnibEGqXIrPQnyt8QiFlUqs0xPr4cYUzExdl79S/n7MgATV8pvH57E/cyLKiUdh7TGoWxKSkrwzTffAABmzpwJAPEdkg4AACAASURBVKiq8g4axsTEQK8XjzNLTEzktPf/b199Qqnt6uvr4XQ6233MoKjMA96YDTgt4m1+eIwfqdmVGCKBuEHeWFJV97rcTlQ24+EvjmDM33/A+Mc3468bznAbuMWdOa3YG4Gv7wEA5Fc0yRZdHG4PXtkSAiG5t8EwQPo0r/DsT0Mx/7onZoZUNdvwc0EVvsurwKGSBng8LMalxuCvlw0LeFijVo3VS8fz8qvJnPP2RJWyLIvdZ+rw0o8n8eSm43ht62lRUfDTfaV4bWthwH3WElGOgRyHToF6aSkxRrx/yySs23kWN6zZhQMlygXtheO8MaWJEQa8t3ISpJJGo4xavHDtmNb6JCcqm/HCjycUHzMUSEVfSpEeH4ZxqdEhO4+0WBMvEpSsNwgASZHBna8/Yo7DZpsTVcS69PjghCm1ikGESNySmPjHMAwvooknHIrURwQQVOduVk4ixqcJT2QRiiolO9uhHrzSqVW8iQ6SjkOBe5xCoVAoFAqlp6PTCL9MhHrSVkew+VglKppsgRv6oVUzPUIUpVB6O1oBx6GDmMipk3Ic0qhSDkKOw45w9sUESJASchwWEZPwe0tUKek4FBUOQ5ye1GMhxpWNsAUvHALABfcBmbMCt4tKAbKIcW9/4dBp8+oN/nRRVGmPk9Ttdjvuvfde2Gw26PV6LF++HEBbZKnRKO0EMRi8A21mc9sX4vtvqW192/naR0dHt+uYSnG73XCuXQytpUa6ocsC9/tLUHTph3CZxIXQvs764w14dVcNJyKE5ziUS8kuFO38Cq8UKLMk/3CsEjsO5CHO1ONuww4nxmmEvwm7qfgotOYa+N9ppVX1MGsKcLLGhg8P12NHsZnzffaP0OLKoVG4cmgUbhwTg3cO1gseKydej7umJCDKUY2CgmrOuiaiM1FV34SCggLF/549pWas2VOLogau0PfkpnyM6W/EqknxSI/xXn8elsUL3xcrPgYAnCqpREGBt0MQ39gC8oq0CzgO0yJVeH7jIWwpFBYxAzE4Xg+TpRIF5x1fO862cL4HjQrw76M0Wp34ZOtBjEgyQqdR4eWd1bwZYVIkhWtw3/RE/Pm7c0HXswMAvZpBqia47xMA5mXosV/m1xSuYzAvOwqbTzej0ebmrc9N1uGzPK5gG882oKCAe/21NLc/KrfF7sKhvOMwEC9FJ2uIWFCjGufOBhavxTBqAFKjNGgYnC0UnzDBmb0J8ITM5poKFBQIC9tum/Lr19pcL/r9VxB/j2aLDXYX9/zKSs5C1SQuZgaDTsXA7m47jkdCODxX04DmIK9fCoVCoVAolO6K1SzSr/O4gu67dxaf7KxQvI2aQbf/d1EofYG66ibu5/pGOFk1pwJTVVkxquF1/hirziDVr73N6cZZei+30lDbyFumQ+if4w210qYPj6UBasIYUkJMUra3NPSK53BFE3fMqMVqR0FBAWrqueMo9TXVKCiQYZbp5UQ3mOGvnIQxdrTYXcg7ns9LxJILM+EfiMZziD79FXeiwXnM/SajfNJfEXPyE86YbW1FMWrOX4MacyUG+a3zaIw4eaa09bPb7YZa3Tmu0R6lWDgcDtx11104fPgwAOCRRx5BcnIyAMDl8lrEtVrpWQI6nY7TXu62vu0A7xfU3mMqhfE4obVUymqrdpoRfeJT1Iy5M+jj9WZ+PN2MV37jC7AWBO/eiCj5CQU1VyjaxsMCJ2rsmJLao27DTsEZlsz5rDWfA+Pi5pR7NEZsL2rBv7ZWwMmdPAMAKG924rXdNdhTakZOPPe7TQjTYO6gCExNC8PgePHvPYKou9biEDhQAH441YRnt1eR1UhbOVhuxZ82lOGpecnISTDgcIUVZU3BCUQNfqKUR80Xwh0s/1mVX21DjYX/YyaHKIMaD85Mao2a8LAstp/lil2zMiNQ0eLEkYo2IeYv35dDxQBjk004XqVsRm5liwvpsXpMSQnDr8XBT8aYlRnB+36VMDMjHAfKrfj2RJNkO60KeHhWf4xLNuHm8XE4U2fHN/mN+P5UW83Kr/MbOSJovEmNpHD+cyE2RJMMGqxu9IvgClIljdxrbmBU+wSxMJ0KIL6eKIP039sYYNZbtMT245NN+CZf+rsgGZcs7qgkY0PtLhYON/cu1gbZkZRCq+YKh2Q0jj+swD1OoVAoFAqF0tMRG6zriL5XqGkQmCQYiGAHJykUSmjRqrn3os3l4SXAaBk3fCO7jIc7xssyNP7RH6FSHOHtGIMRI0IvPY4QZVAjkjgu8WqP8F5SZ9ZAOPat5yc/k2MZOjX93QEAlkhxMsI7Ptni8EiOP0nuU63DsWH/D2uPZ+J/+mdal7v00SiZ8xocUd6yTR4N14Sm8hvzVtu4JdBchq4r+dZjFAuz2Yw//OEP2LFjBwBvHcTFixe3rve5+nwxomI4HF7Hj7/YZzAYYLVaJbf1bee/bXuOqRQVaYEPQNzZbxC36DlA3WO+4k7B5nRjzcc/Ca6zsMEPwsbpXFBpdACUzdiIT+qHnJzkwA37GpF24Je2j0ZbFa+moT18AP79bZWgaOjP/nNWFDVyO3R3zB6MZdOE65L6o4ltAb5pm9VhdauQk5MT+PzPc7y8CS/8elpUNPRhcXrwj63V2HLfhdheVQzgnOxj+ONQ6dvOr2YgcIS73gk1VAw4IlWwouHolGi8eO0Y9I824JtD5Xh/dzH2n63n/VsvGZeJ53/gR5F6WGBfmUTssgQx/VJx3+X98dvqnUHVRUyNNeGJa3MRF2RUqY//Ds7BC5tP4LVthbzoBwBIiTXi6UWjMTmzbR7RSADDBrfg++e2ti6zEU62KdlJGDJkiOAxY0zFqLe0z3kYnjAAOWkxnGUbik8AaJucMiItQdG1TpIQXYcz9XWcZUnRYZL7jI2oQXGDeA3GiaOGiNZ/GZTlwev7tqC8UZ4QPTY1GpdNHSW63lRnAdBmKXWxDO/lYujgLCSGoO6kP2GGErQ42n5H3BLC4YD0LGBQ8N8RhUKhUCgUSnckPs8OoJm3PDzM0K7+aWeQsLsZOGcN3NCPMIO22/+7KJS+wBlnOfzfiT0aPVzEsHnGwGSoss/frypuBJExLILey34UOrh/TwBIjo8O+d9ooN0FfHJWdP2I7HQ49fXAcb4D0kd2+gDk5AwI6Xl1BS12F4Ci1s8ON4us7MHQbm8A0Db+lp4yADk5/Tv9/LodjkHA7raPpvNj+vHJqRiUEB70bu2lDXATEwk08VnIyJ3ftqA+DTjc9jHGpEWM7944wb2eddHJnPvm4MGDQZ+bUnqEqlRVVYXbbrsNx44dAwD8/ve/x4MPPshpExbmzaW12aQHDX3rw8PbLoCwsDBYrVbJbX3rGIaByWRq9zEVwyp0OllqgeZyIDol+GP2QjYdLUedWXhgOuioUgDQGpEQoUd+Bf8FR4rECFqjSpCYNO7nlgrAwK0pt25vNRxueX+/OjNXaJkxWF42NJlz3mRTJti8+csZuGQKW9XNdnxxoCwoIcxHbYv32rY53Th2zopxxHoHtJiYHovT1WbUtAQfS3DFqP546bqxKG+04aqXf5W87p/adBxVzeJiUDAYtCpkJcbgX78bhQc+PaQosnTEgEi8fuOEdouGAKBSMbj34hwsn56BT/eVYt/ZelidbsSH63HpyH6YOTgRaoEZxP2jDIgwaNBsE3ahn6luQaPFiSiBrP6kSINi4dCoVcPqbBOIheocFlZzI6Ey48N4bZQgVCOArCtAEiYx+9CgVYmKhgCgUavwt8uHYdV7+wOem06twiMBap8atNxzsbk8vHuzI2rRkEXKJWscaoOrQUmhUCgUCoXSndGK1DLsCTUOJ6bH4rs8eUlRPqKNoY2+p1AowUE+e5ptLjiJiZwq1u8dnnAcQtU76uSFCvKdGgCijKGXIUw6NbRqBk5ypu954sJ0iDFJP2cjO6D2YldgFPibW51u2F1cwwCtcXgeosahifGOlbWrziGAeouzVYQUOxbvs8NvTM5cxV0XloiuottfKadOncK1117bKhreddddeOihh3jt+vf3KuX19fWSDsDKSm8nLjGx7Y/er18/AF6BMtB2cXFx0Gg07T5mp6DQpdgX2H5CvEZke6JKkZKLy0cpm62RHGXAuNTowA37IoYonlAIGzeTO9iafAOijbJFkUiiU+NweWBzynPoWRwufH1ImXPwoz3FSI6WrpkqRa3Zjh2nazD/qa9ReojvrJ2qOoqK+hZkJbZPFNKqVWiyurB0za6AYnmoRcP+UQYkR3n/RovGD8Q7KyZhPOGe854jg8QIPfpHGZAWZ8K84Ul4e9lErL9zerv+xkJEm3RYeUEmXl06Hm8vy8Uz14zG7CFJgqKhxeHC0jd3iYqGAHD0XBMWv7YTjQICYRLhcGMCJEwMjDFiyiButUsh0fgMUc8zM6GdwqHAC0FA4VBCGIwLCyz0XjKyP55aOFLw7+7DqFVj9Y3jBK8Zf8hC7o5OEw65+5SqcQgNnXhCoVAoFAql9yEmHIot704sGj9QMJ5PilNVLXj0q6OobcfETgqF0n7I97sWmwtulhBi/MdZ3cT7uqp3xF2GCiFxKqoDBDqGYRAlMQEjPlyPmABjEUITn3siahXD+w2yOFy8hCxywnKfhZiMbTwv9gmNxSmhweJAOEOkD+gjuJ95wqHfmJy5mrsuXJ75pSPo1o7DgwcP4tZbb0VjYyPUajX+9re/YcmSJYJtBw3ylo30eDwoLi5u/exPfX09Ghu91uSsrKzW5VlZWTh69CiKiopEz+Xs2bOc47T3mMpRmD+s0gLhSYHb9TGkHGNBR5Wa4oChV+JKVounNuXLdgPdMDkNmh7w8tNlRKcCFQ2iq1uC/L6mZ8e31uQLhF6jhkGrgs0vD7XB7MCJqhZsOlqBmhY7TDo1JqTF4OqxAxDh19korbcKxldKcaKiBbOHJEi60aSoNTvw9lursV7zCiI1/BjQN3TP44jlC9xnfxBApOL9+7C7PHh9+2kU1gRfYzBYrs9NhcpPGJqWFY9pWfE4Xt6E/cX1sDk9iA/X4cKcxA7plLaXpzbl40Cx+HXto6CyGY98dRT/uW4sZ3lSJPe6n52TiB/z+ZNe9BoVrh4zAPfNy8ErW05x1pGOQ5Zl+cJhfDsc8hBxHAaY5RemlxAOw+XNxF6Sm4rxaTFYu7MIX+wvg9nhFfpjw3S4ZsJA3DQlHQNkCMdCsyNJOmLWO3lcqRqH1HFIoVAoFAqlNyLqOOyASVuhJtqkwx0XZuH5zfxSDWK4WRZrd57Fj/lV+OCWyUiJpX08CqUrIN/vmm1OnuOQ4zIkzRrq7jf+0FW02F3YUlDNW36ishlNNmfIhboYk1Y0VSs2TBdwLKIjnJBdRZheA7urbQK/1eGG3UkKh93/97RTIMS7sPM1DtvrOGywOGECkU6pC5f+7C8cthD3ThgVDnnk5+e3ioZ6vR7PPfcc5s6dK9o+JSUFAwYMQFlZGX777TdBEW/nzp0AvLUJR41qq22Um5uLL7/8Env37oXb7YZazR+o89VWzM3NDckxFaNWGF8x7Eq+ek2R/HGyBhtVOvPPgNYAI4BnF4/GLev2BYybnJgegxXTA9fY69PEpAEVh0VXB/t9HSppQIPFgegAHQcfkQYtbM62Dsii1TtR2sCdOfLVwXN4clM+7pyVhTsuHASGYeBhlUeOOtweXPHyrxibEo1tJ8XdsWJcwBzCfzXPQsOIC5YjVUV4zf0oFuD/UB+keGh3ufHh7pKgtm0PSZF6LJ2cJrhuaP9IDO0fvBjaGTRanPh4r/y/24bD5/DQpUPQP6pN6CIdh/uK6zmfk6MMeGD+EFyYk9B6jSdEcO+VaqJDXdFkg8XR5qTVqhkMjAnelcmyLMx2vvDNBrgnpKJKA7kV/clOisDjV4/EY1cMR53ZAYZhEBumk3QikmjVKmhUjGjUsFrFdMjED7ID75aMKqWOQwqFQqFQKL0PnVq4z9YTokoB4O45Wag127Fup3jNLSFK6624+X+7seHuC2RNYqNQKKGFnJxgdrjhIu9Ff5ehh0ijolGlAIADxfW4Zd0+QSHvh2NVuPDpn/HqDeMwKTNOYOvgiBYo8wIAkQYNdBqV6Pq2dr3nuyPjSi0OgahS6jj0QjoOGTsAFqjMA07keScDJA0HwpUlSDZYnAjnCYeBokrNgNsFnNgEHPuSu46MRe5EumXPy2w246677kJjYyMMBgNef/11SdHQxyWXXAIAWLduHa/uoNPpxJo1awAACxYsgF7fNpA6d+5c6PV6VFdX4/PPP+ft9/vvv0dhYSG0Wi0WLVoUkmMqRqNT9iOUe1vwx+rFzMwRV+mDqnE47Y9A7q2tH2cPScLrN46XnK1y8bAk/G9ZLn0ZCES0sEAEACyjgh3B/bDnVzTjhjW7zhcNDgyZdU6Khj4sDjee/q4A//f1MbAsi+RoIzQKhAofhdVmbDtZgzgZQklcmK61nQYu/Fv7uqRo6CNdVYl7NZ8qPjcfFU021IrUCu0oEiL0WLs8N2DERHdmw5Fyjns1EB4W+OJAGWdZIiEcNhAO58tHJ+PqsQM4wngCUc+xhnAcFlZz3YZpcWFBi2IldRYs+O8OfLKvlLfuzV+LsHLtXtHYB0nHoYyoUhKNWoXESAMSIvSKREMfUs/ojhq44jkOyWgcf6jjkEKhUCgUSi+kJzsOAW9s3v9dORxv3DQBUwcpGxg/XW3GhsPlHXRmFApFCqFnDy8Bxn8An4wqVXdbb06nkV/RhBvf3C3q/gOAOrMDv//fbhwuDZzEJBexqNL482MhgSYi95Yah4C35qM/XuGQcBzSGodedNwxlWiYsUn3IK7+7Rrg/WuAd64Gnh0CfLQUKNsne7f1FgfCeFGlpOOQEA6ttcB/xnmP1cQdB8QvzwPvLwFsjbLPIVR0yytl9erVKC4uBgA8+uijmDx5sqztVqxYgaioKBQVFeH2229HSYnX2VFZWYk//vGPyMvLg8lkwsqVKznbRUVFYcWKFQCAf/zjH/j000/hcrng8XiwadMm/OUvfwEALF68uLUeYnuPqRhGBVz+vLy2Mx8EUie173i9lPkj+iFeJPLOBQ3sLPeH/uX4R7xRpCRp04ElHwAX/R+vyNicoUl48+aJgsdYc9MEvH7TBIRLDJBTvHgkhENow5AYEbzbJu9cEy++UQylcZdv7yjC98cqEWnQYv6IfoE3EKHW7MCw/hGi60cOiMKnq6a2CkkXq/aiH1Mv2p5koXo7wsGPM5VDMDGqctCdd3n5Y9SqsGxaOjbcNR1D+nVvR2EgztYpj3YtruV+R/0ipa/73PRY3rL4CO4zj3QcFlZz64VmyKwBSlJSZ8HCV3fgYIn4C8Dm45VY8sZvaBaIjZascSgzqjSUkHUO/emogStFNQ61oa3VSaFQKBQKhdId0Ir0s3pCjUMfDMPgomFJeGfFJEXJGQDw/u7iDjorCoUihVB8I0845DgOyRqHdJzvb1/lyZqkb3N68MiXRwOmEslFzFHoG0eIkUgc02lUvcrYQQqHViHhsIdMxOlwiLhQE2PHUBWREsa6geNfA29eDBz+RNZuG61OmECI54GiSpvKgQaJpIITm4B1VwH2FvE2HUC3e6o5HA68//77ALydrWeffRbPPvus5Da//vorACA2NhbPP/88Vq1ahZ07d2Lu3LmIjIxEc3MzWJaFVqvFiy++iIEDB/L2sWrVKuTl5WHr1q14+OGH8fe//x0qlQpWq1chnjx5Mh588EHedu05pmLG3egdKNx4P2Ct46/XhQOzHwEm3d7+Y/VS9Bo1Hr1iOO764IDgeiv00KPtR+7SeZcC338KWGrbGi18Axi1WPI4FY02weXJMmpr9VVYlsVvhXV497ez+LmgChNdVXhb5Led0YXhhjFpimpHkHy4uxj3zMkO2EGINCh/TL71yxnMG94Py6dn4Jt2zBitbLJBr1FxfuQvH9UfN09Nx/i0GDAM0yqEX6LerWjfYYwdM1SHsdHjnZiRER/Gq3MnhtLajXK5aFgSDpU2oLS+bWbOuysnY3xaTIccr7NRyayt6Q9Zj5OscchtC0zM4AuHCeFcsZGc/UfWqsxMCE44vP/TQ7z6iUIcL2/Cv77Nx+NXj+Qsl3Ycdr5wKBXf0WHCISFWuqSEQw39PaFQKBQKhdL76OmOQ3/KG62oU5jUcri0ASzL8t4DKBRKxyL0jFHkOOzjUaX5FU3YfUZgrFqEw6WNOFTaiDEp0e0+drTIhH9fcpFRp4ZBqxJMgOpNMaWA99/qj9nhgt1Jo0p5NFcAO/4jv73HBXxxGxA1AEibKtm0weJAOAjHIU84JMfdZIjo5w4A254GEhYEbhsiul3P68SJE2hp8aqnLMuipqYm4P/8mTZtGtavX48FCxYgKSkJVqsVMTExmDdvHj7++GPMmDFD8Lg6nQ6rV6/GY489hlGjRkGtVsPtdiMnJwf3338/3njjDeh0wgOXwR4zKEYuAu49Dly9Ghh2NZAxExhyOXDpM97lk1fxHHAULleMTsaTC0cKriPjSjMjGaCBmG2QkotAFIkIMHLjMXsiLMuipsWOcw1W2IgfpUDYnG7c/eFBXPfGb9hwpBxmhxslrESGtM6E22ZmYmxq8B2MeosTO0/XBmwXTGTBrjN1KK23YFxqDB65bGgwpwcAqDU7OSKdTqPCC9eOwYT02NYXSZ+gEocmxfuPY9q2aRIp/js8ORL3XjSYs8zp9iCiA1yzN0xO5bkZEyPaEfHczchODA/cKMA2ZI1Df4b2ixR0yPIch812zsw+Mqp0ULzy8zx2rgm/Fcp/SfhsXxmv4HSYLjQ1DkOFpOOwo6JKiQ68m3xR9aHWA6pu14WjUCgUCoVCaTdiNQ57kuPQhyOICZdONwuRMtsUCqUDERIOnVLCIVnjUN27BCil/JBXqXib7/MqQnLsQI5DAIgVcR1GSpSa6omYiCQn6jgUoHQv8N8pwM6XlW3HuoGfnwrYrN7ihIlRWONQLvvXAiFy6sqh290dI0aMQEFBQbv2kZ6ejqeeCvxFkqhUKlx33XW47rrrOu2YQaE1AGOu8/6PEhRXjUnG3746Cqebe7NZWAPg/57SWAI4/QbVGRUQOSDg/s/UCEdACsXzdScKq1vw3q5ibDtRjSabE5EGLWYOTsANk9NE4wvrzQ68t+ssPthdgrLz9f+0agbzhvfDzVPTMUEgOtEflmVx78cHsfEIt8NQyorXo4Q2DAatGmuX52LF23uwp0h+RKc/Vc3CzlB/gp19VFpvxcAYE1ZekInYMB0e+vwIbO106mXG82vPxZ3PbA+mRqcNbR0nsmbhLRdk4M5ZWYg26VDVbMNzP7S5O812F5ZMTMXbO4oUH1OMy0b1x+SMWN49EhGE47O7csmI/nh0fZ7sqFedRoWrx3KfN3FhOqgYCA4mTMoUvtfI+oA2pwctdhcizl/bhTXcqINgHIdfHSwL3MgPq9ON7/IqsHhCSusyScdhl0SViguZHdXR5tUaEIu70QYf1UyhUCgUCoXSnRETCHviQGdChB4Mo2yML9j63BQKpX0I1jgkyhlJR5X2bRdXnUWZuxrwCiyhIEpEFPSNlwFAtEmHcwLpcErLE3V3SMdhs90FFzGA1KdrHNadAd79HWALssbmma1AzSkgPku0SaPViXAQ1xpZ41AbpHBorfdOYOikiQp9+Eqh9GV+PVXLEw0BAfGlOp/7OaK/rJuzqLZnOQ7dHhaPf3MMs5/dijd/OYOTVS2obLLjZFUL1vxyBrOe+Rn/3HgcbuLH5mhZIy56fhue+f5Eq2gIeGdJfnO4HItW78RTm/Ilc8t/PlHNEw0BwA4dqtko4Y3OF7D11hHsH8S/2IucHPNgOxH+tfoWjhuIrCDcZiRC+/AJKvs8OYr3t1dim2snpiD6fOcrQs/9G9icHtxyQYZsN2CgdpeM6IdnrxkNi9PDE8R6Uz1Qo06Nm6emy25/7YQUntMuv6JZNKZprEjEh06jQgwxA6+mxYE6swNvbDuNkjpuhEIwNQ7973+5nCO2CdOL34+k+NkZSD0fOioqi3zGiroKtSbh5RQKhUKhUCg9HDHhUCviROzORBi0mJ0jkaQjwFWjkzvobCgUihRC73huctjcXyykUaUcwnTKx26kUoeUQI53+Ij3dxyKpBj1tqhSEzGO0SAQl92no0q3PRO8aOijdI/k6nqLQ8BxGMH9rNYAmiAnhLMdUz5KCCocUvokP+VzLfS+lxArTzgk3K9RKZCDWFSpXKdRZ/Po+qNY88sZyTavbyvE37/Oa/1cUmfBjW/u4tVLI1m99TT++/Np0fXv7BQv/loi5jr0GzSXEzcqxuiBgaNOg4kt0KgYZCa0iXxuD4uTVe0vYCskHMafF1Q+ds+Eg5X/439UPwZnWGHRNcKg4dTjNGhVHCEU8MYfvLtyEvpHSf/QXTshBdsfmIUXl4zB0P7cH0qjVo3/3TwR/71hHAxaNc9tGKZT8xyWPZ175mRj7tCkgO0mZ8biYb+YW5Zl8cLmE7j8P78I5vIDwL+/K0BhtfB1Fh/OfbY9ufE4Jj/5I57YmM9r+/ev83gxooEIJjqK3EbqRaPbRZWGWDg812DFne/txyd7SznLLS6RATItrW9IoVAoFAqld6IV6Wf1xBqHAPB7BRMH1SoGN0xO67iToVAoogiVo6BRpfKZnBmneJtJQWwjRLRRxHEY5u84FP5+gilP1J0hk5xIV6dWzfRdV7u1Hjj6afv34xKfOO/xsMKOQ6Fo0mDjSjuxRF3P7HlRKEFgtrvwwe5i3PvRQXy+nxurd+1EryBoYQnhsOo493N0YOGwyebkxT766I6Ow98Ka/Hub8Wy2q7deRZ7irx1zF7YfFJ2rMCLm08KCoxOtwdbT1SLbidW59Ct8QqHbg+LXWeCEw4vyI5HugxnVTCzj+aN6McROs7WmnmZ4sEg5TisRRTWuC+TtR8X1Hi06SrR9c02F5au2QWr+piisQAAIABJREFUw9sRZhgG4URkaIvdhcFJEfj2nhm4ZUYGbx9zhiRi7fJcPPW7kdBr1bhqzAC8cv04TpswvRqzhiS21mtssnLvj97WgQMAjVqF1UvH4e452YJu1nC9BrfOyMTa5bkcx9tr2wrxwuaTkvsurbdi6ZpdqG7m32sJhOvz+2OVojVXvjpUjmtf26lIPBzWP1J229ZtkrnbdLuoUolZeKGMyiqsbsHVr/yKDUfKeeWwXWI1DjVUOKRQKBQKhdI70YoMaPbEGoeA973z91PkiYEPXzo0qPQPCoXSfoSEQxdZ4cvtLxySjsPek5YUDFMHxSl6fg2INmL2EGWObDHEREH/cTlxx2Hv+t7IqNIGIkK2T7sNS/cBrsAlqwISLm4GaLI5wbJAGAhxkYwqBdohHHbed9gze14UigJYlsVrW09j8j9/xF8+P4LPD5TxRJxZOYlgGMAMwj1Vc4L7WYbjUMxtCHTPGofrdhYpbH8W9WYHvj50TvY2DrcHH+8t4S032138aD4/xByHTrX3ezp2ronj4pQ7a0ajYnD3nOyA7ViWRZWACCOFWsXglgsyOcsKKpoV7cMHGceTnRjBa+Of2f6MazE2auZI7tMJLe523Il9rHS06f7iBvxzY5twTkaG+v7uUSYtrhzFrcOXEmvEmzdPxMzBCa2iIMAXAhutTk6MbW+ub+iPRq3CvRcNxq6H5uDFJWNw9+ws3DU7C89cMxq7HpqDhy4dyunMVTfb8ez38mr/nmu04ZUtp3jLSeEwEPkVzfjrl0dlt184boDgi5YYA6KNmJHNvb/FhEOjVs0r8N0ZdEZUqdPtwS3r9oo+Z9ysWFQpFQ4pFAqFQqH0TsQEwp7qOGQYBo9eMRx/mJUl+r5q1KrxxIIRWD6dPyGTQqF0DioVw0ta4jsOpaJKe+f4hVxUKgYPXjJEdvsH5ueEzPkmVmLIP6o0RqQOYm+bsE5GldbzhMOe+VsaEuxN7d+HPgrInCW6uuG8wcbEEGM8OiHhMIiSVgMmdGo91b79VKMA8A5KlzdaoVYxyIgP65IB2o6CZVn845vjeOtX6RjOP7x/AAOijbA2E4PrDiL2Lzo14DHPSAiHLd0sqtTh8uCHY5WBG/qx8XA5jpc3wuFW5qDbfqIGq2YOQkWTDWa7G3FhOpj0asli8WKOQ/X5mRo7C2s4yydlxMKkU2Pz8SrR89CoGDy7eDQmpsdKnm9Vkw13vr8fe4rqJdv5o2KAJxeOxBii1lw+IRyatGpYnESsBUFKrJFTe07FAOnx/LpmcX6zpjxQ4c/OW9GQNgODi97DBFWb8M2qdbDnXIVFh8bjqCfwdQwAH+8twX0X5yDKpBUQDts6yaQzTaxDRnbmnG4WNqendUZUEyEc9raseRLDeSdmID7eWyJYk1WMz/aV4v55ORwhjowqlcM3h8/hL5cOQf+owCJVXLge109Kxds7imTte9WFg3gvCWI1DrsiphSQLhiuRCSV4odjlThdLf6bwaup4YMKhxQKhUKhUHopolGlPdRxCHgH1O+bl4Mbp6Thw90l+PV0DVpsLsSEaTF7SBIWjR8oOvBNoVA6D51GBZejbayG9z7mLxZ6iPG9Ph5VCgDzhvfDEwtG4K9fHoWYR4BhgL9eNkzWWIhcxByH/hPtxeog9rZnL+k4rCOS4vq0cGgKQTTu2KWAjj8266Ph/PhoOOk4FBQOg3AcznwAsCjfLFh6j0JEkYRlWRwsacB7u4pxoLgeVocbBp0aYIFCP6HLqFXj6rHJWDE9UzAWsafx/bHKgKIhAFidbtQ022EhaxySyIgqLaoRv4Obu1lUaaPVqUiQAAA3y+JUlfhAtxhnasyY+fTPKK5r+/vkpsciIz4MhSID52KOQ40+DMfLm7DxSAVn+bSseNw2IxMf7C7G2zuKOAPyKga4aFgSVl2YxRP2SOrNDix5/TfOvRGIlBgjHl8wEjMH88+ZdByunJGJX05WY3+xcEHenKRw/HHuYKx6b3/rsvS4MMFIATLCsdnuxlsNY3HKkY2BTBUGoBb3zBuKqZOm4t299Ti6/zhvH2LYXR6sP3wON05O44l4/rG7cgU/rVoFk04Ni19HvNHqbO3YkDVAe6vjUClbC8TjfIVotruw72w9Zvhdi0odhwDgYYHP95fhzllZsto/dOlQlNRZ8GO+uHAPAMumpeOGSXzxWqzGYVfElAKd4zj8cA/fie2PWyyqlAqHFAqFQqFQeilk6oqPnuo49Ccp0oB75mbjnrmB028oFErno9OoOOMVvKhSTo1DYnxP1bsEqGC5YVIaRg2Ixpu/FGLjkYpW04FGxWD+iH5YMT0DY1NjQna8OrMDr287Lbhu3Y4irLggAxEGLWJEo0p71/dGmoF4UaUS4xy9npRJgDHGW+swGBKGAhf+WbJJvcUBNdwwMIQjORQ1Duf/Cxg8Dzh4UNl27YCOyvYBWuwu/PHDA5IuLB9Wpxsf7C7B5/vL8NJ1YzFveL9OOMOO481fAouGPmwuDywag3SjqMBOraLanuM4JGeidCQVTfwc6d3n6yWKISYcvrO/Gn/bup23PCsxHBq1CjdOScfSyWnIO9eE8kYbtGoGw/pHIjEywPd7nn99m69INAS8dTKFREMAKKjkCoeTMmLxp7nZOFDSgE/2lmDz8SpOXbrp2QmoJmpCDhIR8k06DU+MO1XldcqWsokoRSJSRs0CjCacrS0T3IcUvuhdoRqHPkjHodSMrUiDlicc9ovyfi9NxH56W2REsCipNeiDFHMTgnAcAtIOahKdRoXXbhyP17cXYu2OIlQ2EddwQhhunzkIi8YP5ETY+jDphB3IcV3kOJSqcagLUV2Ak5XSMcaiNQ6pcEihUCgUCqWXIuYs7MmOQwqF0jMgo5KdLBlV6jemx4sq7cOCDMHIgVF4YclY/ONqJ0rrrWBZYECMMeTuvjM1Zixds+v/s3ff4W3V5x7Av0fb8t7bSezsvTcZjAKBlF0IMwmrQGkZpYO2t7uF0t5bCrRlhQRI2WVDoZCwkpC9yN5xbMcz3kvj3D8cOzpTOrIky/b38zw8D5bOkU5szfP9ve+LktoW1ev/+ukBvLezDC/ePE2nVWnfikacsvO8p5rYqrSL1QFMuAFY+zfj+xbMBL7zPOBI1N2srtmFWMjPfwsawaHsPG/2BKBsq3K7AbOBs+4DBuuPpgqHvvXsoC7tbi8+3n0S720vw5qDVYYr3drcXtz9r614+fbpmBjClSCRVFzTjA1H9IMpuWbRz8n1xDy/t6EbHEZZxWGc3YJhWfFBz+ALtzIxFR5RgFmQJgllzeofyH78+nZkJjgwPj8JgiBgdG4iRufqv6jLnWpqx5tbjQdsJbXqA3Zb2j2Kx8SwrHgIgoCJBckd/20qxgOv7+i6ftPRGrhkrWD1KoBT42xorlH/oJTstCIvOfiQoTPekbcqrW/VDg71PnglxlglIbJvwFXPikNVwfwe4mWr5tKCqDgEzvz9A2Uxm3DnvMG49axCrDlYheKaZphMAoZmxmPygGTVwLDrvgQBsTaL4nUyJTa4Y+8uRwRalXq1+jSfptmq1MLgkIiIiPomrRmHWpcTEYWK/HueYiGnpFWpLDhkq1KFeIcVI7LD83tpbHPjpmUbNEPDTgcrGrFk+Ub8/rJRqtf3tYpDeYGI/Dxbvw4OgY4Abt8HQPXBwPeZcguw4M8dfXb9ONXcDqc8OLTFqe8rDxPlMxhzJgCXPQWkDw38WEOMZ2X7oK8OVOH+17Ypqj2Mavd48ZeP92HlLdNDdGSRVVxjvOmvbqtSZ5puH+NOR3UqdOStGHvSwYpGPL/uqO7x9jQ3LChDKvIgnWXYpPF3qm1xY8lzG/D+989CTlJwJ9Y/2VOONrex+Y0AUKrxYeVARYOkgiotzqaYNzd1kHTe4jel9Yo3lSF6wWGsXTIP0deYvKSusCaY9sOdlY7y8Mq3etZIpaA8VKxr9g0O+9eMw0DNHpKGTccCb6XgtJkxsUDajjfYikOtSld/rGYT5g1Tn1Gqx2kzK4LDtD7cqjQ/2an7Xs0Zh0RERNTfaAWEfaFVKRFFN3mooggOvTozDtmqNKJe3nBcMgpJz56yemw9pj4qqK91upJXHMqpjUDqV2KSgRvfAV66Gji5U3UTr9gx7qqL1RlQaAgAtc0uxAry4FCjJan88hpZy90h3+rR0BCA1hkp6q0+31+Jxc9t6HZo2GnNwWocqmwMyW1Fml5li5YWaLeyrLX5b9ta1+zCqWbttoI9WXFY2dCGJ1YfxOLnNmD+nz/Def/7OZ5fdyyokCxSrHCjRaUKdJxwCLHyQbOnnWp24ZkvA29RK1fRENxzRys43Cur5hyWFa/YpiDFKZlB5/GK2F4s/VCjF/rpBStjfSouvz0ux9DqIqfNjIvHZgNQa1V65nFupFWp/DrfsFA547BvfYAL1qKpBbCYAn89u3RCruR3V9HQihVrjxq+X4tJwOUTQzewPBDyylYASOmpVqU6FYehWqV3xST9KnbtGYf+F7EQERER9UY2i/rnXlYcElG4yRcoKIPDM2NX4JEHh6zNiRRRFLFy/XFD+7yzvVT18lC3T+1p8hmHcnad8xz9RmIucOtq4KrlwKA5gDUWHphRIqbin+6L8ZjnUun2jf5Hv3WqbW5HnPx8tV3jfK6/GYeZ6lWykcRHSx/S1ObGD17eCrdXv/WZUX/8YA8qVObTRbuijFgYONcOAGjSaVW6ttqJVzcV6+5/RNaSUp5dhrPi8Fh1E97fUYY3t57AukPVcJ9uden1ivjTf/Zi5kOf4pGP9uGzfZU4UtWE0D5KQm9u6in8x/ZjDDEp24ZeYfkKX9jvwXTTbtV9X9tcjFaXR/U6f4INBEprWyCqtB2Ut4Edlpmg2EYQBEwdmKK43FdRun7FoZYxeWeCw+RYG66ekq97P76unVrQFUDF23UqDmWPa71KQfl1vqGjsnKRH7wBIDPBgbvmDw5o27Q4O+4++8y2Bysa8e3H1uAVP69dai6bkIuM+MDmgoaK064MynouONReiReq4PCS8Tm6wb9bs+Iwsn8XIiIiokjRCgj7fXs1Igo7+euPsValPH8RKTVN7ThisHva9hN1qu8jCX1sRI7/ikO+lwLoaC086jLgpneBn5Xi4alrMKvtMTzkvhYHvLLzpo0nA77Z2hYXnIKsIEWz4tBPh6/M0QHfb7jw0dKHvL2tFLU61W7B+mRPBWY9vApPfn5INRiJVhnxDpwzItPQPi06rUpLxDT87M2dOF6tXQovb/s5WBb2+FZphcq6Q9W4/pn1mPvIZ7jrX1tw7yvbsejpr3HWn1bjidUH8KM3duDvnx2CyxP83y7WzxtPqOWiEo80/gxFpjLNbVKFBiy3PoyJwn7FdQ2tbhwoD65Sdmxekv+NVDS1exQBGqASHGapvzFMGag9SzQ3KQaxKpVYnVL1Kg7zpDMeH1wwAtMG6YeUADB7cBoeuGBY18/ySrAGnRmHeiu25G0g6lvO3A4rDrXdc+4Q3HrWIN1tshIcePGWqchO7Ghj2dDqwk3LNkhmSgZqQkESfn1J5Fc3xaqsjpO39o0Uh04Lj1C1ynLaLPj7dZM0P7xrVxyyVSkRERH1TZxxSEQ9Rf49zyWf8MVWpVGhJchCAbXGdOsOVcMT4gKcnsRWpcHxPY9ZKcrOCxuqOHQpKw5tys5zHZfrVBxanUCy/jnASOAnrz7krW3KyqxQcXlE/PHDvXh8lYHhoVHg9jmFgbYhBgA067QqLRHT4PKIeHH9Mc1t5CtexuRKQ5tWlxcuT+hag7684Tiue+ZrfHWwSnFdWV0rHvloP17ffKLb9zPFTzVcqP3MuhIZgnr/cV8OwYWHrU8DKvWTwX6QmDIwWXeeoB61dqXKVqXKikMAmKIT5vmbM5eqEaykxdmQlSB9TDusZqxYOhVLZw1S/UARazPjtjmFeHbxZMkHCnmI19CmHRzq9YiXh4qSikPFjMO+tfKrOwRBwM8uGonXvjsDF4/NhtV85oWtIMWJn144HB/dMwfDfR5fr2ws9jsoXM5hNeGG6QOw8pZpfltchJrHK6pWCjsivHChk14LD1sIT1xNHZSCl2+bjqGZyue5R9S4HwuDQyIiIuqbOOOQiHqK/HueYua8b8UhW5X2mJRYm+EOc0DHOVm57720FYue/hq1ze0hOLKeF8OKw6BIgkNIz+WjsTzg26ltbocTQc449JUxEjD1/N+Kr2p9SFmdsRPEwfjfT/bjgtFZGJKpkZZHmckDU/CbS0bjF299E9D2zTqtSkvENADAG5tP4MEFI1S3OSprVToiOwHm7aWS1SuNrW4kh6D13tpDVXjwzZ2IxMKY4dnx+Gx/ZfjvCEAWqvEt06aAtx9iKsEM026s80qro/Sq8PQIgoB7zxuKO1duMbxvaW0LRmR3BDc1Te14ffMJVDWeKVEXBKiGA0BHdarDalL9IOPxetHm9miuDNJqdTgmN1F11qfDasb/LByJe84bgg92lHW12C1Ki8OCsdmqc+YUMw59qgMbulFx6BscsuLQvykDUzBlYAra3B7UNrtgM5uQ5LQq/s7B9PzPTnTgPz+Yg0Rn5H/vaw9V4Sdv7FQdbn7z8o2nKy4Lg5pdGyy9VqWhPnE1oSAZH90zB18frsF/vilDVVM7YqxmnJ/gAdap7MCKQyIiIuqjtBZo+S6cIyIKB0XFoagz41DRqpTnLyLFabNg3rAMrNobeCWYng1HarBk+Ua8fNv0Xl+RxxmHwUnyOQ9WIa84bK7uWDQQwHO8tsWFOEEWHGrOONQpEomC+YYAKw77FGsEkmhRBF78WrviLhrdMH0Anr5xMgakOBXXyVeo+Ks4BIDqpnbN+XnyVqUD02IVIUxjW2jmHD726cGIhIYA0Ob24va5hRG5r3PNW2ARjFVlXmDaIPl5eFY8CtP8DJnVsWBMNn564XC/2+UkSR8vpbUtqG1ux49e347pf/wUf/hgj+R6kyDgjS0lipa/Da0uLFm+UTU0BIA1B6tx5T/WSULITvvLG/DKRvX5dR6viHa39u8ywWHFNVML8NMLR+CnF47Ad6bkq4aGgHLGYYNP210jrUrl1/lWGcpnHCZyxqEmu8WMzAQHkmNtqmFaXYvLcM//srpWOGyR/1jw2b4K3LRsg2poCADN7R784YO9eOjDvRE9rkgGh0DHooUZRan49SWj8cS1E/Hnq8bhvNG56htble9nRERERH2B1aIeELLikIjCTTnj0EirUp6/iKQbZwwI6e1tPV6LVzXOrfUmMTrnMQC2KtXie66yETFok48yawqsmOZUk1rFoVZwqHPeOgrmGwIMDvuUUbK2mOHy3g7tuXPB8HpF1Le60NTmxp6yOvz8rZ2Y/+fPMPl3n+Dc//0cf/hgD45VGzsBLnfeyEzFvK7cpBi8e/dsyWXNOjMOT4jpXf9vkp2ob2h14cWvj2J3Wb3k8kFpTt3ZcME6XNmIdYeru307gSqtbcGPzx/ud8ZaKKSi3v9G8n0E6T43zBjQ7cqk2+cWYfmSKZheqGwhOjQzDg9dPgYXjs6WXH6osglX/nMdXt10QjWw83hF/OKtb/Db9/Z0hYder4g7V27B2kP6f8+dJXVYunwj2txnQuvV+yrw7ce/0tz3iwNVWLJ8A5rbu/+Y06o4FEXRUItR+XWsOAyPNp3AOBz7Bauu2YXvv7Q1oBmsT35xGJ/tC82KwkA4dE5ORezEldaXT6v2IhciIiKi3kyzVSlnHBJRmMnbOLp1W5Wy4rAnzR2ajism5oX0Nl/4+phioX9vYzYJuu1I2apUXVKMbyc3AdWCrOqw4aTf2/B4RdS3upUVh0EFh9FRccjlEH3Ioqn5eHd7adjvp7qpHR6vCHMwDaV9HKxoxAvrjuLNrSWo1wjTqhrbcLCiEU9/eRh3zRuM+84bClOQ91vTJO1XPSwrHsOzEpAWZ0NVY8d1LRqtSuvFGNSj4wldmB7bddLY4xXx10/2Y9lXR9DUrqxC/OXbuxSrPUJRcbizpK7bt2FEaW0rTKaOGWsjcxJw7yvbJdfPGZqOk3Ut2F/e2O370gtvtfj+3WYPTsN3Jud3+zgAYN6wDMwbloEjVU3Yd7IBXlFEfrITo3MTIAgCln11RLL9+zvLUNmgrAqUW7bmCEblJOCKSXn4dG8FvjygnFGpZseJOvx7SwkWTS3AvpMNuOPFzZpVip3WHKzGA6/twBPXTQzoPrTIQ7zOx3GLy6MIfYzMOOysMnR5vIq5lAkMDoOW5LTCYhLgNlCWHGM1Iy7Ccw1f33JC8/VfzbI1RzFvWEYYj+gM3YrDSJ24EjSOgRWHRERE1EdZNL7vs+KQiMJN/jrjhl6rUlYc9iRBEPDwFWPgtJnxQog64+0vb0RJbQvyknv3922nzay5KJzBoTr5ucoKMRE58Jlt2Oh/EXtnYYSi4pCtSikazChMxZSByYb2SdSpDNJiM5uCGkLr64Wvj+H8v36BFeuOBXTSWBSBx1cfxMMfBd+qrrpRGhymxtpgNgmSkKlJo1VpZ5tSALh2agGAjkqxe1/ZhsdWHVQNDQFgzaFqHKuRVks2yKqzghHpqqDS2jPzMy2ylrjTC1Pw/NKpuGhMTkjua5N3mOF9Nood+5w/KhNP3ThJc5VqsAalxeKC0VlYMCYbY/LOzA3MSZLOGQskNOz05BeHIIqi4Q84na2CH1990G9o2On9nWXYU2a8ktOXVuWsvE2p02bW/f3L5+d1BofyakOLSYCDvdeDZreY8a1RmYb2uWhsdtALM4L17y0nDG3/xf5KVNS3+t8wBCLdqlSV1pdPCysOiYiIqG8SBEF1nmGov+MREcnJF4jqtiqVVxwyOIw4i9mE3146Gp/cNweLZw5EUXosMhPsGJoZh9vnFAY1G7e2ufvnbHua3pxDu59Wpv2V/FzlSY+sq2NjOfypbe7IHWLRIr1Cq7JQ6/LEfCAmSf26COMnrz5EEAT84/pJyE3SP6FoEoDb5xTivbtnY/PPz0NWgrETkOMLkrrVBvLNrSfwi7e+gSeIAX1Pfn4Y3wRZbVfVJA11UuI6ypBvnDGwKxRpgU2xH3AmOEyLs+OqSR1B4wtfH8M7AVR4yquxQlFxaPRv1l2+cx3lc8gKTs+OvGZqfrerUAFgqzgYu7yB9yqvF53YHH8O3r5rFp68YbLfQcChlCsLDo3YX96IzcdPYe3BwKoNO+0qrcehikb85xtjLYO7O5s0XrbIoM3tRbvbi/oW6eNZb74hoKwi7Awe5fMNE2Ks3W4329/dOGOgwe1DOyMgECdOtfjfSKak1vg+wdALriM2F0CzVWnvXgFJREREpEctJGTFIRGFm3zGqktecejRmXHIVqU9ZnBGPH717VH49P55WP/gufj43rn46YIRQY2/kZ/76o2cNu3zFaw4VBdvt0iKpCpEWXAXQMXhqdOhc7dblUZJtSHA4LBP8HhFrNpbjluf34RLn1jT1XZTzezBaXjl9hn46YIRGJ2bCIvFhEWnK+gCdf304E8ut7o8+O17e4LeHwCeX3c0qP1qZL+XtNiO9pZZiQ48ecMkOKwmiDChRVSGhyViGhIcFjxz02QkOq3wekU8K2tTGahQzDicXpiKtDjjLT0DFe+wKN5oyuo6XviKNYLDzAQHbptTGNDt68dBAh5xXw2vGFho9Kj7MowdlI1x+ZFfjZHjJ6T3Z29pg6FWkp22Fp8KaCacZJ/jtYbvx5fdYlKs1mpscysqDv21F5UHi03tHrg9XsXzQm9OIgVmemEqFs8cGNC2d84rwti8yD+HgllsIK96Dhe9isOIfdg2abUqDX7RAhEREVG0UwsOWXFIROFmM0u/f3lEeatSneCQFYdRZ9bgNP8b+chPiUF+L29TCjA4DIbJJEjGLlWK8opD/zMO61o6cgdFq1LN4FDjcgaHFCqltS245ImvsHT5Jvx3dzlOnGpRtLE8d3gG/nLVOKz+4Ty8eMs0TBmYIrn+hhkDkBEfWAg1MjsBF4zKUr2uuKYZH+86iQ92lmF7ca3qQNkPdpYpZg0a9eE3/p+saqpl95sadyYgnDU4Da9/dybOGpKmOmPPm5CPN++ahfGnw6kNR2sUlXeBCkXFoc1iwnXTjAW+gchJdOC+84Zi1f3zugLBTp3tSuX/7nyf7R741jC/QXS83YJHF43HhALtkOIz73j8xH0L3KL+S9Q/3RfjWc8CjMxO0N0uXFJibd160zWbgls5aw4iOGl1q7fTDZQgCIp2pY2tbkWloL+KQ6fNrAiL6lvdqJe18A1mZRgp/c/FI3HnvCLN9tJmk4D7zhuKB8433iI4FIZlxhva3mYxYUBaZD7IO3SqCiPXqpTBIREREfU/aiEhT3YSUbjJv+cpKg59ZxwqWpXyHEa0ucFg4ct10wZEfHxLOMToBodsVaolyTc4hLziUNqq1O3xoqKhFRUNrV0dFWu1Kg7VZhwe+C/wwqXqB1KyBWg5Zezgw4TLIXqx6sY2XPPU134DrM/3V+LWOYUYlKZeApsSa8OKpVNxw7MbUNWoPaOtKD0WyxZPUbyRrjtUjb9/dhBfHpC2XCxMj8WSmQNx7bQBXUHBZ/sqA/mn6WpodaPN7TH8Ylct+7elyir2Rucm4oWbp8H1lySgoUFyXc6AIShKP/NEP1YtnVtoRChmHALAHfOK8NXBKmw+FvyLidNmxmUTcnDbnCKkxtkRazN3tYfMTYrB3pNnfg8lGsGhb8BoMgn4w2Wjcc7wDKxYd1TymEhwWPCdyflYMnsQcpNisHBsDrYW1+L1zSdQXNMMQRAwOD0OV07Kw63Pb8KrtfOx11uAWy3v4wLTRliFMx/QvvCMwTLPBfjMOwE2iwlXTMoL+nfQHYIgICcpBkeqgns8DEiNxdnDMvCfXYGH4ZMHJCtC3UCkh6BCNc5h6Sq9B4CGNpey4tBPcCgIAhJjrJIFBPUtLsXzIiGGb0+hYDIJ+NEFw3HttAJ8csVmAAAgAElEQVS8tOE4vjxQhYZWNxIcFswdloFrpxYgK7Hn5uVdMzUf6w5XB7z9xWOz/Va1hopdp1Vpj884ZHBIREREfZiNMw6JqAfIv+e5DbUq5TmMaDNlYDIuHJ0VUAFKUXpstzrsRRP9GYd8L9WSqFtx2NGq9FBlI1asPYo3t5Sg4XRhUJLTiisn5nUFtn4rDjc+C7x/PwCNTnKHVwPPfgtY/D4QlxH0vycU+KrWiz3y0b6Aqt5cXhEPvL4Dq384T7Mt3IjsBLx392z8/bOD+PeWEkVV3PmjMvHIVeMUJ2xf+PoY/uftb6BSXIjDlU34xdu78NXBKjx+7URYzSZFVVEwzCZBMbA4EIqKw1hZS9LWOmDDU7A2KWfHxZRvAtqbAVtHYNOd2WuNIWhVCnS00VuxdCrue2UrPt7tv9ey3KA0J9753mzNyq4c2fy+0toWuDzersrDTvIQSxAEnDsyE+eOzER1YxvK69tgs5hQkOKUfAgTBAETC5IxsSBZcd93zR+MB9/ciR1iEe52fR9JaEChUAYTvDghpuMkUru2vXZqAVLkf8sIyklyBBUc5iXHYFphKkTAUHB4w4wBGJ+fhNykGEOz3i4am234GOXi7FbAZ8hvg0qlYCCBX4LDIgkO61pcilmJ8Xau1gulvGQnHjh/OB44v6ePROqC0VkYlBYb0HPIahZwy+zA2iGHgt1igiBA9f0tmPegoDA4JCIion7IKjt5bzYJQbW4JyIyQr5oQREcSlqVyisOeYo92giCgP+7ejxcni34ZI/2edPBGXFYsXSqostWb6VfccjgUEui88y55QpRdq66sRz/3nICP3p9h2LkVG2zC898dQSdLx+xesHh0TX6oWGnqv3AqzcCSz4EupFBdBcfLb1UXbMLb24tCXj74zXN+Hy/friUlejAby4ZjfUPnoP5w9Il143OSVSEhp/tq9AMDX19tKv89HZiSCpFJg1IDiq4q27UblWK2uPAU/OBVb9TrhoCMKfmDWDZ+UBjR8Wkb/WhUQ0haFXaKc5uwYMLRga175Gq5q65hWrUgsPS2hb4vj7G2sy6oV1qnB0jcxIwOCPOUIXOoqn5uGX2oK6faxGPLeJQbBKHS0LDc4Zn4MEFIwK+3XDISQzuBP6SWYNgNgmYWZSKheNyAtrnrCFpuHhsDswmwdBKqHi7BZdNyA3qOCW341C2KpVXHPprVaq2TX2rK6gAkno/u8WMZ26a7Lddttkk4M9XjcPInMi1JRYEQfNDdY9XHFoYHBIREVHfJa8ujNiiLSLq1/xXHLrV/x9gq9Io5bCa8dQNk/H4tRMwbZB0dFdReix+tXAk3vneLOQm9Z3v2E4rW5UGQ6/i0FN/Eve/tk0RGkq2OX1VrF6r0q/+F35Dw07H1wHH1ga2bZjwzGwvtWpfuWKWoT/v7ziJs4dn+t0u1m7BtMJUrPZpK3pYpRrkr58c8BsadnppQzHWHqzGuHztuXaBumiM8cqp5nY3WlzSGW9dgVd7E/DiFUDNIf0bObkDeOlqYOlHmFiQhCEZcThQ0Wj4WEJVcdhpR0ld0PseKG/EUI0ZYzlJ0vaFpbWtqvMNu1N9qUUQBPzsohEYkZ2Af3x+CAdlv+esBAdumjkQt541CJYe/hIpD1gdVhNaXfrPzQtHZ2HxzIEAOv6tf75qLADg3e2lmvvMHZqOJ66b2LXSdsmsgVi1txwbj+q3qhUE4KErxoZkZmC8fMZhmzI4DGRxgLydaV2LC/Wy5wVnHPYfRelxeOuuWfjjh3vx4c4yxQexCQVJeOD8YZhZZGyweSg4rGbV53PEgkNB7X4EwNL91sNERERE0UoeHFpVWpcSEYWafJGCsuLQrf7/AGDmOYxoZTIJuHhsDi4em4O6Fhdqm9vhtFmQFmcLyznNnharUznJikNtvjMOqyENDs2eVsSKLWiE/9FRyorD06Pjao8DBz8xdlCblwMDZxnbJ4QYHPZSVQ3t/jeS76Mzv1BOPg9RHhzuKq3DtuJaQ/d/rKYZx2qaYRIAnYDer1++swuf7CnHLWcVYu7QdP87QFltGO+wnFllsXVlRwlwIEo2A7vfhjDmStw+twg/fG27kUMHAEUb2O7aecLY38GXRyf5la+2Ka1t0Z1vGGqCIOCKSXm4fGIuNh87hf3ljfCIIgpSnJhVlNrjgWEn+e9p8oAUHKpsVK3mdFhNuGnmQDzwrWGSVjt2ixl/u2Y8Fk3Jx/PrjuGz/RVodXlhM5swa3Aqrp8+APOHZUiGNDusZixbPAX3vLwNn+5VryaOs1vw0BVjQtKmFOiYceiroVXZYjSQikO14FAx45DBYb+SkxSDxxZNQMVFI7BqbwWqm9rhtJkxdVAKRuUk+r+BMHFYzACULbZ7tFWpNaZHW1UQERERhZu8XaCNFRJEFAHyNskutirtcxJjrAGdt+rNdFuVcsahJt/HhQsWNFsS4XSfKdZJF+rQKPo7Dy5qtyqt2GP8oMp3Gd8nhPiq1ks5dF4EtMTolCrLFcqCwyOVjRBFsWslxvbi4KvcuhMadvryQBW+PFCFH5wzBPeeN9Tv9przDUUR2PSssTvftAwYcyWumJiLb0rqsHztUd3NsxMcKKs/86LREOqKwxPB/y30gj95JV1JbQuOV0cuOOwkCAImD0zB5IEp/jfuAdmyysyapnakxNokweHUQcm4aEwOLh2fi0Sn+gcUQRAwc3AaZg5OgyiKaHN7T89Y0w4I4h1WPLt4CrYX1+LFr49hW3Et2txeZMTbcfHYbFw+KS+kAZy8VWmDWsVhMK1KW9zKGYcOvj31RxkJDlwztaCnD6OLQ+NDdcQ+bGsFh0RERER9mLJVKRdNEVH4KSoORdn3Md1WpTyHQdGBrUqDkyQ7X1tvTpEGh6jFEegXZsSgDSZBFnx0Bocqo9H8ki9QiDC+qvVSkwck+99IZpKBfQpSnRAEdLUirW91o6apHalxHe3R2twenb0j59FPD+CtbSX49rgcLJpaoAi7OlXLqi07/x1oOQVU7jV2p8fXAV4PBJMZv1w4EgNTnfj1u7sVHYqtZgELx+bgsom5uOHZDV2Xh7Li0OsVsau0Pqh9i9JjMS5Pu5InI94Os0mA53TS2+b2KqpMC1LDHxxGO/lj7mh1E1plbXH/ctV45BsIWQVBgMNA0D8uPykkbYD9ibNL30QbW92K2YQBVRw6Aqg47OMrwKh30Hoe2s0R+rCtGhzydZeIiIj6NkVwyNZqRBQByhmHstcevYpDtiqlKKFbccj3U03y85A1pmRk4UjXzxlCrd/xhHHyakOLAzCfPq+TmG/8oILZJ4T4aOmlRmQnYGJB4EGBzWLClZPyAt7ebjEjL1kaiBzxaVeameCQ7xIS2YkO3DW/CGlxtoD3OVbdjMdWHcTsh1fhjx/s6Qq6fMlblXZVHLYbn1EI0Qu4O14IBEHAOSMyJa8bJgH4xcUjsPYn5+B/rx6vCJZCWXF4pLpJEkQaWYd58+xC3Wo2i9mEzHjpHK2tsuDQSBjWV+UkSv++ze0eSVVtdqJD8VzqreRVgI1tbtS3GA8OFRWHrS5FAMmKQ4oGdo3gMGInr0wq928Jz/svERERUbSQtwuUB4lEROEgD1UMzThkxSFFCadNb8YhKw61JMnOVVZBmrukC/5HhTkFjfmGAJA1BkgfYeygxl1jbPsQ46evXuyH3xoGU4BJ0W1nFSI5NvAwDgAK0+IkP/vOOZw7NB1xOsNWjTpvZCa2/c95WPuTszFpQDKqGo3PcPSKwJNfHMbP3twJUTa7r6pJo+IwJgXG4jYAlhhJxceuUmmr0BHZCbh5diHST4du8XZ52KJdZlzf6sKKtUdxy4qN+M6T63Dr85uwcv0xNGlUKe6UtSkdnh0fUHBz6fgcXDPF/6oFeejZ7vZKfo5Eq9JoF2MzI0XnuTVlYEqfGbYsf843tKq1KvX/uiB/jNa1KGclcsYhRQOHRkAYseBQEABBdl9sVUpERER9nHLGIU9dEVH4yRcpuOWN+jynz3+IIoNDilpOzjgMivxcZblH2qUvXfA/KkxRcWjzyVYEAZh+R+AHFJ8NjLwk8O3DgI+WXmzm4DQ8cuU4mP2kh1dPzsd9AcwBlBskn3PoExzG2i24anLgFYz+nDsiE0lOGwRBwKajp7p1Wy9vLMaqvRWSy2q0Kg7tcUDRfGN3MOLijif7afJWoaNyEiQ/x8sCkFaXFy6PNIADgOVrjmD6Hz7FL9/ZhU/2VGDDkRr8d3c5fvbmN5j+h0/x8objin3k8w2nDkzBG3fMxASNatQYqxl3nz0Yf/nOeJgCSJ21Wr8CHb+CXJ3r+5OcJO0KoKmDonM2YzAUMw5bg6s4lIeL9S0uNLSx4pCij1qrUrNJ8Pu+G1LyL6AMDomIiKiPs5hYcUhEkSdfpOCSVxxCBLwe9VllbFVKUYKtSoOT5JQWhZR6pOf30xFAxaEsOGwxyQpuJtwAjL7C/8FYYoCrVgAWu/9tw4hnZnu5KyblYXBGHG5atgG1shP4EwuSsHjWICwcmx1UxVNhuiw4rGyS/HzveUOx7lA19p5sMH7gMn/7dD9mD0lDblIMWlzdn5+4Yt0xnDMis+vn6iZZcOjbCnXKrcChVYHf+JRbJT8qg0PpigSH1SSZFQh0zIbzrQB9fNUB/Pnj/Zp32dDmxk/+vRNN7R7cPHtQ1+U7S6QvWmPykjA4Iw5v3jkLO07U4p1tpShvaIPNbMK4/ERcOiHXUCWXXnCYleAwNIevL8tJjME3JeqzJvtScCivOKxtbkdTu/T5GsjjS9GqVKXiMJAAkijcHCqr8WyRPnFlsgAen/cwBodERETUx8lblbLikIgiQf5dz6MIDnG66lBl0JmJ5zAoOuhVHPI8rrYkp/Q5XOyKl5TcZZr8B4exQovk5z3VHjTur8ScoekdF5hMwGVPdVQTbnhKeq6nU+pg4LIngbzJhv8NocbgsA8Ym5cIr6w15/IlUzBvWEa3bldecXi4SjoPMMFhxb9unY7v/WsL1h6q7tZ9ldS24tYVm/De3bORFtf9NP2L/ZU41dTeFc5VNWq0KgWAYRcCoy4Ddr3p93Zbxy2Go2Ca5DJ5q1J5xaEgCIizWyQtHRvbzgSHO07U6oaGvn7//m7MGZKGIZnx8HhFRVg1Ni/R5/+TMDYv8DmYanJ1Kuk43/AMrYA1yWnF4PQ41et6ozhZFWBprfQN0WISdD+gdJKHi7UtLjRwxiFFIbUP1RE/caWoOORrLxEREfVdJ+tacbBcuji55FQLimua+R2UiMLKf8UhOqoNRWUXMdX59EQ9QG/GYcQXQvci8gKGEnci4FN3ND65HY4aE1pdKs//0+StShu8Dtz54mb89765Z84dmy3A+b8HZt0DbHsROLEJcLcCcVnA6MuBwvkdAWMUiI6joG6pbmpHfeuZah2TAMwoSu327cqDw6PVzZKqOQBIibXhxZunItbe/TfI3WX1+PxAJS4YndXt2wKASp+wsFrWqjTNdyadIHQk+eMW6d7ec+7zsWv8zyWXVTW2obz+zP0IQseMQzm12XCdlq89qnu/vrwisOjpr3HvK9tw5T/WSqozHVYTikIcUulVHHK+YYc1B6vwyZ5y1esSY6xoDkEFbbSIt0vfRE/WS98QE2KsAVU3y9+MT9a1QvbSEtIZqkTBcqgMDo94cCifcWjRXtBBRERE1FuJoognVh/E7IdXYY+sq1FJbQvmPLIav39/t+KcBBFRqCjbIgtwi7LLXK3AnndlmwnAyZ1hPTaiQGkt6LeZTQGNreqvHFazpJVrpSjtKJjgrsGq++fCovM7dArS86RNcKCp3YPn1x1TbhyXDsy+F7hmJXD9G8ClTwCDz4ma0BBgcNgn+M4eBIC8ZCfsKic7jcpJjJGcIG13exUVRgBQ1diOprbQhCMvrT+OovQ4nDUkrdu35buKokbWqjQlTtq3GBY7cNk/gVtXAeOvAxJyAXsCKs2ZeNF9Ds5vewi/dt+Ew9XSFwB5m9JBqbGIVQk85NVTjW0dwWG724v3d5QZ+ndVNbbjza0l2FosLZFudXnxxw/2hPSLFINDfS9vOI7rn12PE6eUzwsAOFbdjO/8cx1qm1VKz3sh+eNY/lALtL1ogmy7Nrd0tU6szQwLV0FRFFBrVRrxmQCsOCQiIqJ+4P8+OYBHPtoHt8b3WVEEnv7yCH7x9jcRPjIi6i/Uvusp2pU+NQd4+07pZaIIPHkW8K+rgRb/7QyJwkkrOOR8Q/98z2tWirIufs1VMImi5ucUQFlx2CR2LPx+dVNxr1z4xEdMHyCfPSifTRgsk0nAoFTZnENZSAkAByqkLUyTujGbbP/pliS/uWQ0kp3B305KrA25yR2hlyiKqG6StSqN1WiHmjsJuPTvwH27gZ8W4/Gx/8bP3Tdjn1gAADhaLf33y9uUjsxRVhsCysClsy1jbXO7IjTpjme+OoIfv7EDohiaFyMGh9o2HKnBg2/uhL9f9e6yetz90tbIHFSYyVuVyskDQc3tQnQ7ROEWna1KWXFIREREfcvu0nr87dMDAW37r/XH8dWBqjAfERH1R2rf9RTtSutLtG9g/3+AFy4F2hq1tyEKsxit4FBlYTRJ+c45rEMsvCafwiPRixMnjuvu75QHh+g4f1PT1K4Yo9Yb8BHTBxySzR6UtxjtDnkIqRocyuYPTCtMwdt3zcKswcbbpXam9oPSYvHybTOCDqeunpLf1WKgvtUNl+dMuiMICDiUHChv11rVLPlZXnGoFRzK2y52VhyGo6rq9c0n8NGukyG5rQSHRbNlZH+fL/HE6oOKijstXx6owvbi3r/qzF/7UH+BYCeL2aR7W5xvSNHCrhYcRroaVhEcai/oICIiIuqNnl931ND2RsZ9EBEFSi04dKvNOdRTuhX44pEQHRGRcVozDkPRnbCvk3ZSE9DmkHZErCzTDw7jVFqVdtKrVIxWDA77AEXFYQiDQ3kIGUjF4ZCMeIzLT8JvLxlt+P7yks+cEB2WFY9P7puLx6+dgFmDU3V7CPtKclqxeObArp+rZYl+stMWcGAnDw4Py/79u2XB4agcaf/jTnEOaVDZOeMw2WlFTmLoq0dC9UVKEATkJKkfX3+uODxxqhmf7680tM+/1uu/ufQGDqtZNzQJtFUpoB8yJjhYcUjRoUdblXo9wN4PgGbZivoTm4C6E5E5BiIiIqIwE0XR8PiOVXvL0dzuDtMREVF/pZxxqFJxGIgtKwCX+kgbonCLUVkADbBVaSASY6SjzVps0qKouqqOczFOtKJIKEGRUAIHzuQOiopDsSPnsFtMSJOPTesF+IjpA+RhVmF6XMhuWx4cyu8LUAkOM+O6jmN8fpJiez1XTMyT/GyzmHDx2BysvGU6Pv/RfAxM1Q+rTAJw6fhcbD52Ci3tHXMXFfMNYwN/ospD2KNVTV1tQBvb3IogdZTBikNBELBoakHAxxOorw/XoLy+1f+GAVALg3rrC16o7Clr8L+RzK6yOv8b9QJ67UqNtBjV25YVhxQtHCor8iLSqrShHHj2PODlRYBb9lp+fB3w6Hhg07LwHwcRERFRmLW5vWhoMxYCekWgurFvzJEnouih9l1PMeMwEC2ngEOrQnBERMaZTYJqSBjxsSu9zP7yBhyulGYcO2qlo85iK7bi/6xPYKv9NnxqfwCf2h/AVvvteNjyFIYJxxErSBcMdFYcLhyX0ysrPnl2tpdoc3vw03/vACCgKD0Wl4zPRXq8HR6viGOyuXvhbVWq7NN9UBYcDs44E1wunT0I3w9wvltanB0Lx+VoXp+bFIM375yFx1cfxGubilHfqvxy4RU7qu2Wrz2KBIcF10wtwGhZFWCqgeAwNykGFpPQVU7c4vLgw29OwmEx4aWNxZJtM+LtSItTn50or65q9Dn2a6cV4Lm1RxUBZ3eV17ciMyH4asa6Zhd++Pp2bDx6SnFdm9uLq/65Dn+9Zjzykvtf5aHLY3wupcvd+0rS1cTZLZqPVUMVhzrbcsYhRQu12QBh/7DdWg88fwlQuUd7G68LeO9ewGQFJt4Q3uMhIiIiCiOr2QRBgN/Z8XJqs6iJiLpDrcOS4ValnepLu3k0RMFz2sxoc0vPXaqNYqEOz3x5GL//YI/is0ipO0GSnl1U+wJMsl9jjNCOqy2f4XLzl9gjSouDmuCAIEDSGbE3YdTcS7S5vHhpQzFe2nAcv3t/D2Y+9Cl+/PoOHKxokMzvi7GakdWNsEhuUJq0evFETQvqml1dP1c3tklCBJMAFPlUPC4cmx1QRZ3DasI/rp/o98N/cqwNv7h4JNY/eC6eXzoV54/M0Ny2vtWNp744jD99tFdyuVa4JyeKIt7aVgpB1iH1zpVbsHTFJvx3d7nk8pqmdrz49THV25JXHDa0nvkdpsbZ8exNkwOeDxcotRYLgapvdeGap79W/Bt9bTp2Clf+Yx1Ka/tf+4WcJOMzxrI1Wr72NnqzCY20GNULGVlxSNFCrVVp2GccfvV/+qGhrw9/BLT0/vmpRERE1H+ZTQLG5RnrVJSfEtOvO+AQUXiofddziUGGLWa+RlHPUZtzyFal6v61viNrUVvAVAHp5xO936BV8GCMcERyWZPowM8WjMDoXPXRZtGOj5heyuUR8cqmYtyxcovk8oFpsTAFOAswECfrWmA1n7k9EcDk3/8XP3xtO3aX1ivalBakOCXhnyAI+P2lo3HPuUM0eywXpcfipVunY8rAlICPK8ZmRn2rCx/trvC77YlT0mArNYAvGKIo4tfv7sYPX9suCWb1uL0ifv7WN3j0kwOK6+TtHeWtWCYUJOOtu2Zh9mDp0NVgxdst3ao8fejDvdhTVu93u5P1rfjxGzuCvp/eamxuot+2uXKXTcgN09FEll6oZ6TiUG9bzjikaBHxVqXuto55GIFyNQPbXwrf8RARERFFwHXTjI3vuG7aAAjyFb5ERN1kMgmwyM6puoNt1pc7MQRHRBQcp0r3JAaHSo1tbvzhA+2F25WisYVN8o8m18weiVvOKgzm0KICHzG93OFK2XzDELYpfWXjcSx8fI0iOHN5RLy++QQWPv4VXlp/XHLd4Ix4xe2YTALuOXcovn7wHPxq4UgsHJeD80ZmYtHUAqy8ZRo+uW8uJhQkGzo2URTx+KqDxv9RCGzG4YrT7U6D8X+f7Mf6w9WSyxQzDlXarBamx+HGGQOCuk+5KyblBd26pa7ZhTc2nwh4+y8PVOFAufGZf72ZySQYKjPPiLfjgtFZ4TugCApVcKgXDrJVKUULtdfRsPalL14PNFf7387XnvfCcyxEREREEbJwXA6GZMT53xBAdqIDi6YYCxqJiAIlXyjqDubUee5kIGtMiI6IyDj14JCtSuXe3FqCRp05y5Vi9yoF544e2K39exqDwz5GPpMwWB/vOokfv7ETHq92tZ3HK+Lt7dKe3UMytT/sJ8ZYsXjWIDy2aAKevnEy/nj5GMwanBbUSsHtJ+qw92RwYVWqn1alLo8XT3x2KKjb7rRsjbQ0WR62aL0onaxv7db9Ah0h5c2zBwW9/4fflCn6YPvz5taSoO+vt7p++gCcO0K7VW4nm8WExxZN6DNv0LqtSmMCX4nHVqXUG9jVWpWGc5VeU5XxfYwGjURERERRxmE147klUzDAT1eXjHg7ViydikQnFxoSUXgog8MgzuXM/VGIjoYoODFqwaHK+Y3+7vN92p0MBXiRJ1R27w5sgS2KilZ8xPQx3WlP2cnrFXXLdPUEukqwu/YG0EZTS5qfisNP95SjsqEt6NsHgP/uLpfMgoyXVVc1qFQcAkBpbfeCQ6fNjKdumIT8FGNtNKXHYHxmYUk/nHNoMZvw9+sm4dppBdDqDpyXHIOVt0zDtMLUyB5cGMkfy74MVRzqhIxsVUrRQq3iMKzBYTAfKm3Bv94TERERRYu8ZCfevmsWvju3SNElKN5uweKZA/Hu3bMxNFPZ5YiIKFSsZnlwaHBh8wUPA0PPD+ERERnHGYeBqWtxqV4eh2assD6M/7G+2L07sPfu4JBlHX1MKILDrw5W4Wh1c1D7DlFpVRoOLp1KSH/8VRzuLKkL+rY7eUWgtK6layWkolWpVsVhnTSAWzxzIEprW/DJnnL4/pMtJgFunwssJgHnj87CD84Z0u0vUmaT8TcSSxD79AU2iwl/uGwMvjd/MF7eWIxtxbVod3uQEe/AwnE5OHt4BswhnDkaDeTzOn0ZCfxYcUi9geqMQ3MYX+/yJgNmO+AxsHhlwKzwHQ8RERFRBCU5bfjJhcNxz7lDsONEHepaXIizWzAuP1H1JCgRUajJv++55BWH428Adr3RMW/e18CzgNn3AoPPCfMREvmnWnHYRzqhhZJacYQFbjxj+wumm4IrqpLo5RWH/OTVxxSmdf8Bue5w8G3PijJCN2NRT15yTND7+ptx6PYEH0r68g2M5GGLZsVhnbTicNqgFFw4JhuVDW04Wt0Er1dEQaoTSTE2fH2kGqea2uG0mTFxQDIy4h0hOe6ROQkR2acvyUmKwX3nDe3pw4gIvValnHFIfY1DpZVHWFfpOVOAUZcBO14OcAcBmLwkfMdDRERE1AMcVjOmDkrp6cMgon5I/n3PI8rCluEXAo0ngYP/PXPZeb8FZn0/AkdHFBinSvckVhwqnTUkDav2StuVXmH+MjShIcDgkKJHaqwtJL3+GzVCLX/ykmMitgpwVlEa0uPtQbUUTYvTDw6zErsfwDmsJkm4Ga+oOFQvhT4pCw6zkzpuIz3ejvR4aaXk/GH+5+sFY/6wdGQm2FFeH9jv1mYx4fIJuWE5Foo+etWARioF9V6rElhxSFEi4q1KAWDOA8C+D4C2AFpyT14KpBSG93iIiIiIiIj6Cfn3PUXFodcNtNRIL8sYGeajIjImVmXRP2ccKl0+MQ9/+s8+tLg8py8RcaP549DcuGAGLPpdD6MdHzF9SGF6aKr9kv1U5GkZGqH5hkDHG/kN0wcY3s9iEvy2UwNIlzUAACAASURBVFwwJhuWbraXvHR8riRElVcctrq8cHm8ksu8XlEZHIYgxDTKYjbhjrlFAW9//bQBQT9mqPfRCgfj7BZYDLRw1KtO5IxDihaqwWE4W5UCQNpg4NpXAEei/najrwAufDi8x0JERERERNSPKGccyr4TelxAsyw4dLJCmqILW5UGJjHGih9dMKzr52zUYJTpWGhu3B4HCL17fBWDwz4kFPMNAeCc4cFVsm0/UYc1B6tCcgyB+O7cIswanGpon5RYG0x+QsHMBAcWjMkO+rhsZhOWzh4kuSzGalbMupNXdlY3taPdJ0y0mASk+ZnHGC43zRwYUDB7zvAM/HTB8AgcEUWLOLt6qGekTSmgHw6q9Rgn6glqrUrDXnEIAANmAt9dA0y/SxkgFswArlwGXP4MYOZzhYiIiIiIKFTk3/cUwaHXrRIcGjs3SRRubFUauMUzB+L+0+OnkoWG4G/IkST9uZe3KQUYHPYpu0rrcay6qdu3My4/CePy/FQ6qKhuaseNyzbgne2l3T6GQNgsJjx70xRcPTkfWlmgvHLQ33zDTr9cOBIDUp2Gj8lsEvCX74zD0Mx4yeWCIChmwzW2SYNDebVhZoJDETZGiiAI+M0lo/DHy8dgoMrvISPejgfOH4Ynb5ikWI1FfZvWjEMjbUoB7aDRahZUwxqiSGt1efD2thLF5Z/sKceB8m58mAxUUj5wwR+A+/cDd6wFbl0N3LcHWPqfjmpDE58nREREREREoSTvMKMIDl0tQFud9DJWHFKUUa845DkENYIg4O5zhuDd783G7FGD/O+gxp4IXPWc9LI+EBxykFQfsqu0Ht9+fA1WLJ2K8flJ/nfQ8ZtLRuPqp9ah1eX1v7EPj1fE/a9uw8jsBAyOQOtSh9WMh68cix+cOwSvbirGF/srseV4bdf1bq8o2T7QCr7UODteu30G7n5pK9YfqfG/A4Dx+Un48QXDMaNIfaVRnN2CupYzsw0bZBWHpXUtkp97ok2pL0EQsGhqAa6enI/1R2pwsKIBXhEoSHFi9pA0Bob9lFZAaLTi0GE1wWoW4PJIn6PxDiuEXl7KT73fseomLHluIw5XKRfjbDx6Ct/66xf48QXD8V0DbZ2DZnUAmaPCfz9ERERERET9nN+Kw6ZK6c9mW58ICKhv8R2f1cmuUoVIZ4zJS8SYay+A+Gg+hLpiYzu31XUsKvBl7/2vCwwOewmH1YzEGKskeFJT1+LC0uUb8dE9c5AeH3yby3H5SXhu8VTcsXIzapv171PO5RGxfO0R/O7SMUHfv1E5STG459yhuG1OIcb+6mNFYNgpNS7wWXwZCQ68cvsMbC+uxcsbi3GoshEQgQGpTswfnoHKhlbUNrsRazdjemEqRufqV2nKAxd/FYdZPRwcdjKZBMwoStUMRKl/0QoOEwwGh4IgIDHGiqrGduntGKxcJAq1qsY2XPv0epTUtmhuI4rAQx/uhcNiwuJZQa5IIyIiIiIioqgiXyTvkgeHjeXSn2NSev0cM+p7nKw4DI7JBGHyUuDTXxvf9+RO6c+20IyU60k8Q9uL+AsNO9U0tePFr4/h3tP9eYM1oygVn/1wHl7ffAJ/+s8+yfw9f97cUoKfXzQSjgivZnDaLJhQkISNR0+pXp8aazxMHZefhHHdrOAElIFLQ6v07ymvOMxJiun2fRKFmlarUqMVh0BH2CgPDjnfkHra46sO6oaGvv744V5cMj4XyQG2wSYiIiIiIqLoJQ9XPKLsvGbDSenPnG9IUYitSrthyi0Qt74Aoeawsf3Kdkh/tsWrb9eL8BHTS7gMhHYA8NKG4/BqVN0ZkeS04ebZg+ARjd1WU7sH5fWt/jcMg5lFaZrXGak4DDWjMw6zEqKj4pDIV1yIWpUCQIJKSJgQw/Us1HOa2tx4ffOJgLdvc3vx2maDLSyIiIiIiIgoKvltVdpYIf2Z8w0pCqlXHLJVaUAcCXg89xEc9mbpblYuyoqMTsqDw95fccjgsJfwGAwBKxracDJEwZ0oAqLB4BAAQpBbBmWmTkvN1B6sComThSTyGYdltdK/V04Sg0OKPnaLWfFBGlAPAf1RCxvj7aw4pJ6z8WiNYlGHP6v2VvjfiIiIiIiIiKKezWirUgaHFGXqWlyq5yk+/KYMFT1U5NObfLG/En/Z2IZvt/8Ov3ddi2PeDMn127xFuL/9u1jpPke6o3wuImccUjQzWqWoxWQSUJDixNHq5oD3sVlMPVYxN74gCQ6rCa0u5b9fa/ZhJPirOCyrl7bGy05kq1KKTvF2C6rd0hajiUFUCqrNRWTFIfWkQFuC+zI6B5iIiIiIiIiik9UinVfolp86VwSHbFVK0WPzsVO47flNqG5qV1z39rZSfLyrHH+9ZjzOH6VfTdefPbfmCACgEU487bkYz3gWIAfVcAptqBXjUImOSsOFprX6N8SKQ4oUo3N2TQKQFmd8np+WKyflGdr+4rHZqv2UI2HDkRrNCs2fv/UN7n91O1pdnggflXLGYaNPxaHXKypalWYnsuKQopNau1K1ENAftbCRMw6pJ2nN8NQTTLUtERERERERRR+bWXouUxRk5zbdsoqtGFYcUnTYd7IBNy3boBoadmpxeXDnyi348kBlBI+s9zjV1I7P9kt/NyJMKEE6Doh5XaEhABwR/YSvnHFIkWI1G/tTnTsiE7FBnADVcvWUgoBPqAoCsHTWoJDdtxFf7K/Ekuc2wuXRrix8Y8sJ3P7C5pBVZAYqXvb7a2g9U6VS1dQmOWaLSQhp8EsUSmqvBSGbccgQhnrQ5AEphgeGzxqsPVeXiIiIiIiIeg/5aBbR5OdcKCsOKUr89r3dAY1e8XhF/Pytb+Dtwa580epkfSsCndZ2zF9w2AdalTI47CWsZhNMBqoOF88cGNL7T4+342+LxsNq9n8Qv1o4CqNzE0N6/4Foaffgnle2BdSO9PP9lXjx62MROKoz5FVaDT4v5vJqw8wEB0xG/uBEESSvngWCqzhUu51YO4c1U89JdFrx7XE5AW9vMQm4Zmp+GI+IiIiIiIiIIkEURVQ0SM/PKWYcynHGIUWBQ5WN+OpgVcDbH6tuxhesOlQIJPfo1AAnqsQE7Q3YqpQixWwS8OCCEQFtu3TWIMwMQwXE2cMz8cLN01CUrv7Az0yw49FrxuOmEIeWgXp3eylqdMqx5VasPRrR1RWKGYc+rUpLa6UfTHKS2KaUopfDqvzgbKTi0OsV8cyXh/HPzw8prnts1UE8/cVhrnyiHvP9c4Yg2RnY4/nOeUXI7KF5vkRERERERBQa24prcf5fv8C/t5RILm92+zl1zopDigKr91YY3mdVEPv0dXnJTkXHQD1H9aoObb2/4jB0vSwp7G45qxAOqxm/f38PWlRm9FlMAu6aPxj3nDskbMcwvTAVn9w3F+sOVeOTPRWobWlHnN2CmUVpOHdEBiwGW6qG0jvbSw1tf7S6GTtK6jA+P8n/xiGgmHEoqThskVyXlRgTkWMiMqKmqR2PfLQPX+5XrmK675Vt+PGFw3HWkHTd2/B4Rdzzyja8q/F8rWtx4fcf7MH2E7V49JoJMLPyliIsP8WJ55dOw5LlG1HV2Ka53eKZA3HPuUMjeGREREREREQUapuO1uD6Z9ej1aUcaeTxV3HIGYcUBWqbXf43kjkVxD59ncNqxhWT8rB87dGAtj8qZmEy9qtfyeCQIu366QOwcFwO3th8Aqv2ngnuZhWl4eqp+ciID3/lgyAImDk4LSxVjd1RJgvfAnGyrhWIUJe5OLu0gqXBp+KwTNaqNCeRFSwUXcrrW3H1k+twtLpZ9fpvSutx07INeOjysfjOFO0n1WOrDmiGhr7e21GGwvQ43HcegxmKvDF5ifjonrOwcv1x/Gv9cZys73iNNpsEnDsiAzfNGBh174FERERERERkTEu7B3es3KIaGgJsVUq9g3w8VkD7GKis60+WzhqEVzcVo7ldWbQlVxeTD2g1P+wDMw75COmFEmOsWDp7EJbOHtTThxJVbBbjs9FslshVM+lVHMqDwywGhxRFvF4Rt72wWTM07NpOBH7y7x0oyojDpAHJiuub29149qsjAd/vc2uO4LtzC+G08a2KIi81zo7vnzME35s/GJWNbWh3e5EaZ+PjkYiIiIiIqI94d0cpKhu0O824GRxSLzCryPjC5lmD2WZXTUGqE/+4fhJue34T2tzqCwoAICvBgYXzZwMfrVTfgDMOiaLH2NxEQ9ubBGBUjrF9ukO++kNacSitlsxmq1KKImsOVWF7cW1A23pF4EmV2YUA8P6OMsnj3p+GVjfe31EW8PZE4WAyCchMcCA/xcnQkIiIiIiIqA95Y/MJ3et1g0OTBbAnhPiIiIwbk5eIcXmBn+NOj7fjWyN15vP1c3OHpuONO2bi7OEZEGQ1R3aLCVdNysPb35uFjAEjtW/EFh/eg4wAngGjPuPaaQV4ZVNxwNufOyITmQmRq+yTD1dtbDvTS7q0VlpxmM2KQ4oiL28I/HkFAJ/sKUdFfSsyZM+vvScbDN/3njLj+xARERERERER+XPilP7YI93g0JkKRapA1EMeXDAC1z2zHm6v6Hfbny0YAZuF9WR6RucmYtniKSiuacb6IzVobncjyWnDnCFpSHLaOjayF2nfQB9oVcpHCPUZ4/KTMG9YekDbWkwC7pin8+QOMVEUsaesXnJZq8uLhz7cg+JTzSivlwWHSQwOKXrslj12/fGKwP7yRsXlbo92ib8Wt9f4PkRERERERERE/vjL/XSDwxi2KaXoMa0wFY9fO0E3EBQE4JcLR+LSCbkRPLLeLT/FiSsn5eHGGQPx7XE5Z0JDALDHA7EZ6juyVSlRdHn0mgl+S7MtJgF/+c44TChQzmALh4ZWF5Ys34ibntuouO6fnx/GvD+tlqwGsZoFpMXaI3JsRIEIJrxzqeyTl+w0fDu5SWzbS0REREREREShNyxTv52gS/RTcUgURS4YnY2P7pmDxTMHSjrf2SwmXD4xF+/cNRtLZg3qwSPsg1IK1S+39v7gkK1KqU9JjLHipdum45+fHcK/NhxHVWO75Pq5Q9Px/XMGY9KAyKwKanN7cPPyTdhwtEZzG4+sgjwzwQGTia0OKHrkJsWguEa/fYdcnkrgd/G4bDz0n73wBNA2AQDMJgHfHp9j6H6JiIiIiIiIiAJxzdQCfLq3QvN6t96pc2dkChKIjBiUFotffXsUHlwwAuX1rfCKIjITHHBYdUJwCl5qEVD8tfQyayxg6v31egwOqc9x2iy471vD8L2zh+Drw9WoaGiD3WLC+Pwk5KcYr3jqjn+tP64bGqrJSWSFFUWXyyfk4evDgT+Ox+QmYnCGspd3dmIMLhydhfd2lAV0OxeOzkI2nw9EREREREREFAZnD8/A0Mw41XErAODWa9bHikOKYjaLKeLnwfsltYrDPtCmFGCrUurDbBYT5gxNx5WT8rBwXE7EXyxFUcQL644Z3i/WzhUgFF0WjstBWpzN/4anLZk1EILGoIDfXDIahWn+30AL02Lxm0tGB3yfRERERERERERGmE0CnrlxCrITHarXc8YhEWlqrgFKNqlcXgV88COgPrDCiWjF4JAoTA5UNOJwVZPh/Vbvq8QtKzairtkVhqMiMi7GZsbfFukPWO50+cRcXKYzZDkl1obXvjsD84ala24zZ2g6Xv3uDKTEBh5WEhEREREREREZVZDqxJt3zsLCcTmwyEYH6bcqZcUhUb9Vexx4+mxg34fK60QvsOFJ4Kl5QMWeiB9aqAiiKAY2bIp6zLZt2wAA48eP7+EjISPWHqrCtU+vD3r/kdkJeOX26Yh3WEN4VETB23i0Bve/uh3Ha5oV19nMJiydPQgPnD8M5gBndO4vb8CrG4tx5HTAPigtFldNzsewLP3h5EREREREREREoVbR0Ir/7i5HVUM7YmwmzLPuwtCPblDf+NJ/AuMXRfYAiajnuVqBp+YClXv9b5uQC9yxBogJzUzUSOZEnHFIFCaxtu49vXaX1ePPH+3Dr9mukaLElIEpWP3DefhifyXe21GGysY2OCwmTBqQjCsn5SE1zm7o9oZmxuPnF48M09ESEREREREREQUuI96B66YNOHPBUZ1Wg062KiXql755I7DQEADqS4DNK4DZ94T3mMKAwSFRmAzLike8w4KGVnfQt/Ha5hP44fnDWHVIUcNsEjB/eAbmD8/o6UMhIiIiIiIiIgofk875OLYqJeqfNi0zvv2sHwBCYB3aogVnHBKFicNqxpWT8rp1G83tHny8qzxER0REREREREREREQBMevU3ISo9SAR9SJeD1Cy2dg+tceApsrwHE8YMTgkCqPb5hQiJdbWrdsoq2sJ0dEQERERERERERFRQEw6wSErDon6H087ANH4fq7ed36fwSFRGGUnxmD5kilI7UZ4aDXzaUpERERERERERBRRWq1KBTPgSIzssRBRz7M4AHuCsX0EExCbFp7jCSMmEkRhNjYvCe9//yzcMnsQHBbjT7lROfwgQkREREREREREFFFmjeDQmdLr5pURUQgIAjDqUmP7DL0AsMWG53jCiMEhUQRkJTrw84tH4tP758JiCvyDxYBUJ2YWsfUBERERERERERFRRGm1KmWbUqL+a+pt4d0+SjA4JIqg3GQnrptWEPD2d80bDJOBoJGIiIiIiIiIiIhCQCs4jEmJ7HEQUfTIGgPM+VFg205aAhTOC+fRhA2DQ6II+9lFI3H28Ay/290+txBXTc6LwBERERERERERERGRhF6rUiLqv+Y/CJz9C+3FBRCAmXcDF/2l17Y11vqXEVGY2CwmPHXDJDz95RE8v+4oyupaJdcPz4rHd+cW4dIJuT1zgERERERERERERP2dicEhEakQBGDOD4Hx1wKbVwAHPgZaawF7PFA4H5i8BEge2NNH2S0MDol6gMVswh3zinDrWYOw9lA1ik81wywIGJoVjwn5SRB66UoEIiIiIiIiIiKiPsHMGYdEpCMhB5j/047/+hgGh0Q9yGI2Yc7Q9J4+DCIiIiIiIiIiIvLFGYdE1E9xxiERERERERERERERkS/NVqWsOCSivo3BIRERERERERERERGRLzODQyLqnxgcEhERERERERERERH5EgRAMCsvd7JVKRH1bQwOiYiIiIiIiIiIiIjk1OYcsuKQiPo4BodERERERERERERERHJq7UpjkiN/HEREEcTgkIiIiIiIiIiIiIhITl5xKJgAR1LPHAsRUYQwOCQiIiIiIiIiIiIikpMHhzHJgImn1Imob1Np0kzB+uCDD7By5Urs2bMHXq8XeXl5WLBgAZYuXQqHw9HTh0dEREREREREREREgZK3KuV8QyLqB7g8IkQefvhh3Hvvvdi0aRPa29shCAIOHDiARx99FFdddRVqa2t7+hCJiIiIiIiIiIiIyB+vB9j7PtBySnp5eyNw6ljPHBMRUYQwOAyBd955B8uWLYPZbMYvfvELbNmyBVu3bsWzzz6L9PR07N+/Hz/5yU96+jCJiIiIiIiIiIiISE9jBfDsecDL1wLuVul19aXAYxOB9U/2zLEREUUAg8Nu8ng8ePzxxwEAt956K66//nrYbDYAwOzZs/GPf/wDgiBg9erV2LJlS08eKhERERERERERERFpaa0Hnr8EKNmsvY3XDXz4I2Djs5E7LiKiCGJw2E1r167FsWPHYDKZcNNNNymuHzNmDGbPng0AeOuttyJ9eEREREREREREREQUiLWPARW7A9v2oweB5prwHg8RUQ9gcNhN69evB/6fvfOOrqrY/vj33H7TE0IICSGQEBIgQAIoHRGDNGlqQJCiPBSwPxQb2BBF8amIPhEQnsgT68OG+mxYsaASCwpRpIhSQ0IgPTf3/v7ImsO0WxIC6Pvtz1qsxT05Zc6cmT179t6zB0BWVhbi4uK05/Tp0wcA8Omnn56ychEEQRAEQRAEQRAEQRAEQRAh4qkBvnmqAedXAQVrTlpxCIIgThfkODxBtm/fDgBIS0vze06bNm0AAH/88QcqKipORbEIgiAIgiAIgiAIgiAIgiCIUPnja6D8YMOu2fbGySkLQRDEaYQchyfIwYP1g0mLFi38npOQkGD+/9ChQye9TARBEARBEARBEARBEARBEEQDqDjciGsoVSlBEP972E53Af7qlJeXAwDcbrffc/i/lZWVNeo5dXV1KCwsbNS1BEEQBEEQBEEQBEEQBEEQhH/CDpQgpYHXVPms2E02W4IgTgF1dXWwWq2n5Fm04vAE8Xg8AAC73e73HIfDYf6/rq7upJeJIAiCIAiCIAiCIAiCIAiCCJ2qZh3htTobdE1F824nqTQEQRCnD1pxeIK4XC4AQG1trd9zampqzP8HcjAGwmq1IjMzs1HXEgRBEARBEARBEARBEARBEEHYMQ4oWBPy6XHn3oC4ZuknsUAEQRD1fPvtt6fsWbTi8AQJDw8HAFRVVfk9p7Ky0vx/RETESS8TQRAEQRAEQRAEQRAEQRAE0UD6Xw+4YkI7t8c0gJyGBEH8D0KOwxMkMTERAHDw4EG/5xw4cAAAYBgG4uPjT0m5CIIgCIIgCIIgCIIgCIIgiAYQ1xa4+CXAHRv4vOwLgGGLTk2ZCIIgTjHkODxB2rVrBwDYtWuX33N2794NAEhOTobb7T4VxSIIgiAIgiAIgiAIgiAIgiAaSsoZwKzPgD7XqA7E1n2AC/8FnP8kYG3cllQEQRB/dmiPwxPkzDPPxD//+U/89NNPOHr0KKKiopRzPvvsM/NcgiAIgiAIgiAIgiAIgiAI4k9MVBJw7t3AoNuA4h2ApwqIaAFEtTzdJSMIgjjp0IrDE+SMM85A8+bN4fF4sGrVKuXvW7ZswaeffgoAuOiii0518QiCIAiCIAiCIAiCIAiCIIjGYHMACVlAUg45DQmC+H8DOQ5PEKvViuuuuw4AsGzZMixfvhzV1dUAgM8//xyzZs2Cz+fDwIED0bVr19NZVIIgCIIgCIIgCIIgCIIgCIIgCILwi+Hz+XynuxB/dXw+H2677Ta8+OKLAAC73Q673Y6KigoAQPv27bF27VpERkY26v7ffvstACAnJ6dpCkwQBEEQBEEQBEEQBEEQBEEQBEH8JTiVfiLa47AJMAwDCxYsQJ8+ffDss89i69atqKqqQps2bTB06FBcdtlliIiION3FJAiCIAiCIAiCIAiCIAiCIAiCIAi/kOOwCRk+fDiGDx9+uotBEARBEARBEARBEARBEARBEARBEA2G9jgkCIIgCIIgCIIgCIIgCIIgCIIgCIIchwRBEARBEARBEARBEARBEARBEARBkOOQIAiCIAiCIAiCIAiCIAiCIAiCIAiQ45AgCIIgCIIgCIIgCIIgCIIgCIIgCJDjkCAIgiAIgiAIgiAIgiAIgiAIgiAIkOOQIAiCIAiCIAiCIAiCIAiCIAiCIAiQ45AgCIIgCIIgCIIgCIIgCIIgCIIgCJDjkCAIgiAIgiAIgiAIgiAIgiAIgiAIkOOQIAiCIAiCIAiCIAiCIAiCIAiCIAiQ45AgCIIgCIIgCIIgCIIgCIIgCIIgCJDjkCAIgiAIgiAIgiAIgiAIgiAIgiAIkOOQIAiCIAiCIAiCIAiCIAiCIAiCIAiQ45AgCIIgCIIgCIIgCIIgCIIgCIIgCJDjkCAIgiAIgiAIgiAIgiAIgiAIgiAIkOOQIAiCIAiCIAiCIAiCIAiCIAiCIAiQ45AgCIIgCIIgCIIgCIIgCIIgCIIgCAC2010AIjh1dXUAgG+//fY0l4QgCIIgCIIgCIIgCIIgCIIgCII4lTA/0amAVhwSBEEQBEEQBEEQBEEQBEEQBEEQBAHD5/P5TnchCIIgCIIgCIIgCIIgCIIgCIIgCII4vdCKQ4IgCIIgCIIgCIIgCIIgCIIgCIIgyHFIEARBEARBEARBEARBEARBEARBEAQ5DgmCIAiCIAiCIAiCIAiCIAiCIAiCADkOCYIgCIIgCIIgCIIgCIIgCIIgCIIAOQ4JgiAIgiAIgiAIgiAIgiAIgiAIggA5DgmCIAiCIAiCIAiCIAiCIAiCIAiCADkOCYIgCIIgCIIgCIIgCIIgCIIgCIIAOQ4JgiAIgiAIgiAIgiAIgiAIgiAIggA5DgmCIAiCIAiCIAiCIAiCIAiCIAiCADkOCYIgCIIgCIIgCIIgCIIgCIIgCIIAOQ4JgiAIgiAIgiAIgiAIgiAIgiAIggBgO90FIBrOli1bMG7cOLjdbvh8PlRXV8PtdsMwDFRVVcHtdiM9PR3nn38+LrjgAlgsFlx00UUoKChokucnJCSgWbNm2LZtGwzDQExMDNq1a4dBgwbh4YcfxhlnnIGVK1cCAL7++mtMmTIFNpsNXq8XERERKC0tRXZ2Nl588UUAwKxZs7BhwwZER0fD5XLh8OHD8Hg8sNlscDgc8Hg8iImJweHDh5GTk4O1a9di48aNmDZtWpO8D8NqtaKurg4AYLFYYLPZUFdXZx6z2Wxwu93weDzweDzwer2oq6uDxWKB1+s172Gz2VBbW2seczgccLlcqK2tRXV1tXm8KbDb7fB4PPD5fDAMA1arFV6vF16v1/w27du3R3FxMX777TezXA6HAzU1NQBgXldXV2feJywsDG63G8eOHYPFYkFlZWWTlNfpdCIqKgqHDh2CzWaD3W6Hw+FAaWkpHA4HfD4foqOjER4ejt27d6Nfv35YuXIlpk+fjk8++cQsb0REBGw2G0pKSmC322EYBpo3b47IyEhs27YN/fr1w7Rp05q8jfzVMAwDbrcbNTU1Qju2Wq2oqakx20lUVBRatWqFI0eO4ODBg/D5fGYf9Hg85r1YW/f5fAAAl8sFp9OJiooKOBwOlJeXn7Z3/TMQFhaGuro6VFdXA6iv69jYWFRWVqK8vNzsX6zNst/V1dUICwtDRUUFAH1dO51OhIWFoaqqCnV1dXC73SgtLW2ScrPnsTbicDjgcDhQWVlpHnO73YiIiMCxY8dMGdis+b9fawAAIABJREFUWTMcOXJEaFsAzDbjcDiQnJwMwzCwd+9eAEBVVVWTlNliscDn85n1w45FRkbi2LFjiI2NhcvlwsGDB81xJywsDDU1NYLsc7vdqK2thdvtxtGjR2GxWGC1WlFbW+v32TabDRERESgvL0dERARKSkqa5J3YO0RHR6OiogJerxe1tbWIj49H69at8e2338Lr9cLlcmHWrFm49NJLMX36dGzatAlOpxPt2rXDjh07THkdHh5uynyPx4OUlBS888472L17N4YPH96kY5Hchtgx/vs4HA7ExMSguLjYbCP8+OnvOovFAovFAqfT2eQyhh/32bMACGVi+kBMTAwOHTpk9lu5jPx1rG0x/eXgwYNNWu6IiAiz3R45cgQAkJWVhd27dwvj9Zo1a7B//37MmTMHANC2bVvs379fOCcxMRGHDx822/yMGTNw3XXXYfPmzbj44oubtNx/RQzDAADze1ssFtjtdlPOAzD7365du8w2qmsjNpvNlD9Afftjcj2QzPn/hFxvdrvd1EkYLpcLHo8HDocDFRUVsFgsMAxD6ct8P7ZarQgPD0dlZSXsdrs53jYFVqsVPp/PfB5rIzU1Nea7WK1Ws9x8v5XfV9du5LHuZCE/mz2/oWOF3GeaGrlMbK7IH4uLi0N1dTUqKiqEvivLdr5uw8LCEBUVhWPHjp0SfVZX37pjwdCNWycLf22koW3UMAwYhnFSy6yTJbKcZX2yIToJAFOf5OUS4R+djA71ulMl//6qBJMZDZHhjZE/jUE3RvDHdHOKQPfi58q8btbU6MZr4HiZXS5XSDYzu92Ourq6kyL/ZH0EqJdz1dXVZtnDw8MRFhaGo0ePmnoKs3sG0keysrJQV1cn2BRPFk051oTalpoCub/Jzw913Off9WT0y1DHOofDAavVarZr3Tgqk5CQgNLSUthstv/3tkEguFw1DANxcXGIj4/H77//jurqang8HtOuz88j+L4dFhaGAQMG4N5770V4eDj69+8f1N5gtVoRHR2NnJwcTJs2DWeccUbo7+GjkfgvxU8//YRx48aZHdbhcKC2tlZojLwh7IwzzsCyZcvQp08f02Brt9sRHR2NqqoqlJWV+X2W0+lEXV1dUKWYGWoZvXv3xlNPPYXCwkKcf/755vURERHC8+644w5YrVbcfvvtwv0CTaItFgsefPBB7Nq1C4888oh5TlRUFMrLy0/ZoPBXpLGT/8aKCN456Q+32y0oWGFhYaisrDSfmZ6ejtTUVGzYsME8Rzb0sut4I1BWVhZycnLw3HPPmceio6Ph9XqFtkqo8M7CUNF9EyI4je1foShtfzYaI39O5DqGPO40JY0tW1NNAOLj41FUVNSga7p37459+/aZjlzgxOu4oZwqw8SfgdP9ri1btsT+/fsDGgJ05ObmYuvWrabeeLIdAQRBEATxV+F0j+0EQRCni1M9byROH40d62iMbByNsfGFh4fj2WefxahRo8xjLpcLERERqKioEGzkfHCFYRi4+eabcckll4T0HEpV+heiqKgIEyZMMBtTx44dkZ2dDZ/Ph7i4OGRkZACobwQ33HADoqOj8dVXX+H6668XVnn07NkTixcvNhvR2LFj8emnn6KwsBAbN25Efn4+AJje7oiICDgcDgBAbGysUCaHw4E33ngDHTp0MI9t27YNRUVFGDdunOmA6Nq1KzIzM4Vr77rrLsFp2KxZM6SlpZlCJjIyEi6XSxA6Xq8XN910E5YtWybcKykpyXRc2O123H///XC5XObf2UoYBovODAQzlDGcTmfI5/LY7fagzwLEMkZFRSExMTGk6/yVIyoqSvgbP8DL9SFjtVoBHI+g4hk8eLBQtwAwZswYbN68GZMnTzaPyU7DZs2aKc+Ro8K8Xi/i4+PN37/++qvgNASA9u3bK/fp1auXUF/btm3DSy+9JJyzePFioUyZmZlISEgwf8vfqWXLlspzGPz7G4aBxYsX+z3XMAx8+umnuO6665S/nX/++cJvuQwffPABWrdubf5etWoV1qxZY7bfUNtWIOTv2xCnYVhYGABonYbjx49Xjj322GP46KOP0K9fP7/l8NfPBgwYINwzOTlZe15+fr5QLx07dhT+HyyyJi4uDkC9TOHL4na7lbIF6vc5OTna42632yyfrFCFKmPkb8Rfx9pGsD7eUALJTDY+8MjP100wdPV35plnIikpSbmOlwuhYhiG33YCHJdzOnTvJNPYSRP/3eV6Yiu+A5GWloawsDDFadiiRQvhd0xMjHLvb775RnAaAup78DIHUMeSE6WpJhKB2nh4eHjA/tkUyPXEw8rW2MlWMOQx2B/79u0TypCSkhK0TGFhYSgoKBD0RpvNJlzXp08foZ/KGIaB6667Tvsugd4vLi5O+278uG+1WgP2ax5ZbvB9xGazCeNDU3Mi7S+QvG3fvn3I37+xBNIt2rVr16h3C0WmhkJT6D3BYHoAcfoJZb7WVATSCU4FJ3vM+l/gz1JHTaHHNOZdGtsfTmU/Ot1ERkae8D0CfZtg3y08PLxRz2yqb/Rn6SNE03K6xyeexmYhIE4OhmGYfoATRZ5b68a6QPaqQNfJ927VqlUDS+efUNpYoD7kT/526NBBmXewc1nmhBNBrhOd01D3jLCwMAwfPhwAUF5ejunTpwt/Hz16NG688UbT3zN9+nR89dVX+P777/Hee+9h0KBB8Pl8uP/++/Hjjz+GVNb/P1rEX5yCggKcd955giHHYrFg8+bNAIBHHnkE//nPf5CWlgaPx4MffvgBc+fOBVDvfADERjd//nx4vV6MHTsW9913H5o3bw6g3siyYMECdOvWzTw3OjoaNTU1SEpKUlKy1dTUYMyYMdi6dat5rKSkBOeee65Q1m3btuGbb74xf+sm/kePHsWOHTvM323btlWMI2wVm5zubtu2beb/09LScN999wnn8I5NALj66quF35mZmTj77LOFY//+978F5W/ZsmWIiIhQyt26dWtTOBqGgQsvvND8m2EY+Ne//qVVInmDVnR0NO677z6hPO+88w6io6PNY7pnz5gxQ/i9cuVK9OrVC0B9fQJ6Y83NN98c8D6LFi0yjdey4H/vvffMup0yZQoAYP369aioqMC8efO0DiPDMMy0TLxg5hWPxMREVFVV4dChQwGNYtu3b1fus2HDBuzfv1+4TnauLFq0SHBUlpSUCMu5s7KyzP9bLBbs27dPuD4tLQ3nnnsugOPpFuPi4uDz+fCPf/wDgH6ykJqaimbNmmH16tUA6ic0V111FQDg1VdfBVDf1lnqOZ4XX3wRv/32GwCgTZs26Nu3L+6++26z7959993C+Z06dVKeLzsPbDab4LD0+XwYNWqUVgngjarx8fE488wzhb+vXbvW77dat24dgPq67NKlCwDghRdeQGJiIlauXCn0Sbb0Hjjezt1ut1DmxYsXY8uWLeaxsLAw7SD/3XffmfU4evRoQe79/PPPmD9/vl/FITk5GcXFxYiLi0NkZKTQXm677TbBmBgbG6v0DV5p+/bbbwGoTpebb75ZqUcG/7xzzjlH+NvMmTPN/8vPZddFRETgqaeeAnC8/d92223Kc2RFrWvXrorTadGiRYKc1jlC77zzTkRFRZkO+d69e5uKC3v+ggULlOsAmKmJZQoKChTHls1mU5xk/pQ4BmtThYWF2ucDescPuw8fZCArbKEYJVjq7WDIcsrtdgdNoXfgwAHtOQcOHBB+M5nbEOx2uylzGHLaHTmACFDrv1WrVsL4pTuHPY9HFzDjT5nn604+Jz09XXm+Dl27CRW5nng6dOgQkhFIPsdfv5BpbGDAnj17gp6jm6DIY9PWrVuVfsoTGxuLf/7zn8K7sHYTyHFutVqVgCLDMPDzzz+bvxMSEpRgFX91zcsNi8Ui9JH09HSlj+gCFOQ2oev/uufL7xbKvRlymiMeFkV6MgkU7SpnOQmVYBkoAL0OJb9/IIc1j6z7hhIAwa4pLi42j8nftk2bNkqZdN9f1qlkXQxQ303XRkKRY7JO8cwzzyjOTz5QDqgvszzuywF+cXFxWieqXG55LF29enVIspR/X39BM6HI0bZt2wY9JxT8BXwFY8mSJcox+fvn5eUp55x11lnC78svv1w5h5+PA/XyR+7/chCiju7duwu/Bw0apESZy3NDtmWIDP/9DcPQniMfk8ucnp4e0jjGzwUMwzC3QmkMoTh0GhuYEMp1cv+S6+TKK69U+juv+wPA3XffrX0P/lh4eLg55+Sv083z+D53/vnnC3IiOjoar732mr/XMWEB5zz9+/cXfstzGkC1zdx1111Cndjtdm2gqUzXrl2F32vWrMGdd94Z8BqdnsOXURc4zf8tENnZ2QH/7o8JEyYox9q0aSP8DgsLU2SrHOi8YsWKoOOd1WpV5OZzzz0XkryVn5eWlqacI9/n8ccfV/p7586dhd8vvPBCUJkQFRUl1K/b7ca4ceOCllluo7KRXYdOrsn1etFFFwW9j9VqNe2sDF0wvYw8Hi1ZsiSkeWWgwHeGXB4gNF2jseew7RIYw4YNU84JxfGlm7fL7ViWBx07dgxpMYYsj2TbKKDK+bCwMKXNyud07949aL+y2WyKfL700kuDlpnh8/nwyy+/AAjNqReIUBYQNDYdsHzv33//PeD58hgp2+qB+gUtwHG5nJubq5zTs2dPABC25JG58sortWXYunWrOSdi+hiboz366KPKWKOT//Liqd69e5v/93g8iI6O1rZ/JgPYu/FtsqKiAomJieb7M5s2a2sejwf333+/+W5z5swx5VdKSgqWLFmCNm3awOv1mtvHBYMch39yysrKMGfOHEyYMMF02rGPzgweGRkZOPPMM+F0OjF69GgAwFdffYWBAwcK92KT7aNHj+Lnn39GeHg4brrpJu1zx44da/7/jz/+gNVqNY1ETqdTmMgUFxcjNTVVOMbyGTPhVV1djdTUVFO50Bkl5GPff/89jhw5Iihu/gwPvAAoLCxU6ortmwfUT96ZcZ1x8803o0+fPuZvi8WCHj16CAb2q6++WpvyjgkjoF4Juuaaa4T7ZGZmaoUwb0S44YYbTIEP1K+0Y3vmMORnp6amCnv4WSwW9O3bF/PmzTOPGYahrbOUlBTz/82bN8ff/vY34e+RkZGms0eGCa+EhATTAebxeEznsU5gRkZGmsJabpdswOcHh0BKOWsnbGBg7SMpKckUnjpY+ZhgPnjwoKA4RUdHm8qO7vm61Wo9e/ZEWFiYOfCVl5crE4127dph586dZpvs2rWrqeSyOmnfvr22T6xfv978f3Z2Nr799luh7w4bNsxs4zabTXGShIWFKcrZ+eefj2uvvdb8bbfb8eWXX2qVAN4YNXv2bIwcOVL4++bNmxUFjcHeZ8qUKZg7dy5uueUWQbm/8847TYMUq4f+/fvj8OHDAERnhdVqxZNPPokff/zRXLH3yy+/aCPeeAOz3W7Hjz/+aCraHo8Hjz32mN+0quy7d+nSBYWFhYLytWXLFsGZzL4nP4G79dZbFYVtwoQJwsT8gQcewMaNG5VnywazWbNmCceSkpKCKuzTp09Hz549TSW2VatWmDRpkvmbKROywf+BBx4QJj92ux2jR48WJh+bN29W2nZeXp4wibr++uvNYAL2TkOGDNGWlW/vKSkppnGotrYWqampwoRJJz/l/iK3hVBS5+7cuVM5pmtTsjwIJd1xaWlpo/Zz9Oc05Me4huwXwE9g/MlVfkITytis29NRrrfff/9d2YNTV7fyvffv3x/03jrkc5j+0NDrmirl8g8//NCgcrO+HopzBVD1ASC0aMtQDLWhtC9dG+BlQXFxcUjthk2YGGwPSR6fzyfIwn379mH//v3CMX91zfcbtj8oo7CwEHv37hXqRJf6V24TrP/z9e2vbfN9K5R76/D5fIiNjTX1tu+//x5FRUWCQZ0RikMxFAeafG9ejuzevVt7jd1uV4ycDY2Q17U9uT34e76M3JdYMF1DrgHUb7tr1y6lTLrvL+tUOnkk30fXRmTnnmwUjImJweOPP27+ZvMXeX9SeZXuiBEjBF0QAG655Rbht8fjEZyoDL59pKWlKRk1evXqZQYxMmT9pVWrVsIc1Ofzace/UIxYurE8FKxWq9C2+QDXQMiyNtj3NwxD2ZYjMTERY8aMEY7J2XQA9XuPGjUKAwYMMH9HREQoThodDz/8sPD7iiuuwKBBg4Rj77//vvIs2eCVmZkptCV531YG324Nw1Cc2wkJCYrBV3auZ2ZmCgY2q9WKzp07NzrCPxSdTNfeQnleKO1UDrqSdcnLL79c6e+zZs0SglVeeOEFrZzk5x7nnXceevXqJfTT8847Tzv+8zLojjvuEAIFbrjhBmRmZgpyXDaKR0dHY968ecJYFxkZqWTikdsWUD+v5uv2oosuEtpWs2bNTDuDP2w2G5588klzPm+z2dChQweMHTs2aPYOmY8//lj4HcgWIdclb0/YtGlT0Gex9+ZXrrzwwgvCObr98qZMmSJkYLDZbBg6dKhwzu233x50vMvKylLsMbm5uUF1iNzcXMHBYrPZlAAIti8XwzAMnHPOOcIYkJiYKNgEDMPAwoULhX6k63cjR44U2mhtba1fgz8jIyMDN9xwg3BMF2whP0+3x7d87LPPPgv4bKDetsGPtRaLBbNnzw54jWEYeOyxx4Rjc+fODUmGyYHv7Jk8hw4dUs6R52w6GnuOLNvlMTMnJ0dxnPM2UKD+HXQBm7zDxeFw4N577xX+npCQoIx1sh7cunVrwX4bFRWl2EYNw1BsPHJ/tFgsiu6ze/fuoPPBvLw8wX7qcDgwa9Ys5Tz5O8rO94yMDK3jrKGczBXqDRm/5bnu/PnzlXNk3aqgoEA5R7ZVjhgxQilTKAEI/DZpMTExGDx4sGBnNQxDmfcMGDBACcp68MEHhd9Wq1XwAzDS09PNeWx6ejquuOIK3HDDDejRoweAen+P3E6ZDrF3714cPnwYrVq1UgKQgPqxfN68eZg3b565MCYY5Dj8k7Nnzx4z2isnJwfnnHOOGW3Rpk0bfPzxx0IjZopLWVmZsvqACW02CTzrrLO0KwcANTKRN25MmDBBMMb0798f69at0xq12cQpMTER69atEybOslBq1qwZPv/8c7MzAPXpDmUlWoessMt1BRx3llVWVqK0tFTo2N27d9cO/unp6eb/jx07pl1SzQY2wzAwbNgwIYLW5/Phzjvv1Dpl+PNGjBiB2bNnm4KFCcoLLrhA+76RkZFYunSpskITEKOYfD6fNhKXj9i+9tprFeNVWVmZIMDkb2sYBh5//HHhOrvdjoMHD5qr7+T7AfWTJnnQZd93165d5rFAkSwWiwWPPfaY+Q5MsT/33HOVdqAb+FjUkcViUYxcrF3LhkqgXsmW20inTp2ENhIfH2+u9GVkZGQgPT3djJrs2bMn4uPjhYFz9+7d2nfmFaSsrCxz4sX6rsvlMg2hhmHA4/EICvXAgQOVgWjgwIFITEw0rwsLC8OBAwe0kwVm6O3Xrx+GDRtmrlZh15aXl5srQPnjPOPGjUNOTg4uueQSwbGbk5MjDOQul8tcci+TmJiIVatWAaifWAdTaK688kosXbrUdLxefvnlZn2/8847wrn8d9i7dy8sFgu++OILs+wMXTROSkqK0Ae2bt2qfMfq6mrBGFZWVqbtk/w5V111FSIjI4VjmzZtCqqwx8XF4bfffjP7QXZ2tvCbGR+8Xq9QhykpKUK7YeMIb/hv2bKl0ra9Xq/5/myyzsu16upq3HHHHdqy8vvWLly40JwcG4aBl156ye/Y5A95NQWgGq1158gyINR7h8K4ceMEw43FYtH2EXkCIxvYoqKicOONNwrHkpKSlLTNS5cuFe7VrVs3wTDpr9/Iq1wSExOFe8fExCgGBhnd9xo2bFhQR1VKSopSJ6Gs8JJJTExUdIXx48cHNYL4W70USvvjJ6sNMVDx78f0B9kYp3MKBUNn5JLrzuPxKJG38uRchy46U46G1hlZgn27xMREJfK7Q4cOgrHc7XZj6dKlwjnjx48X+om/oAp+FUZCQoLizLzggguCTuh1K8UuuOCCoKsOEhISgk6QQ0mJmZiYiPfee0/4TuPHj1cm0NOmTRPeRffNxo4dq0RRy229TZs2wqoewzC0KyFkhgwZIoxZDodDcHAA/lOMByIUmalzUKampjb4WTpCWUmkWwHEOzz8EcpKLdlwIsuajIwMIXsGa5dyncjGlB49eiiOOnl1z9GjR7V1y8vVMWPGaOWorOvLdTRs2DDF4RWKLALULQvS09OVVS+6vifLvmXLlgnjOx9UySO/i6yrulyuoCth5XG2Z8+eSnnCwsKUdsvLUMMwMGPGDKGcbrdbme/LGIahrO7s1KmTMN8G6o1QPEOHDlV02t69ewvfUg6QYPBjv2EY2lXi8r3lvjZ+/HjhOjanbmyaUF2ghlx2XjeVjwVCd46sOwaTSS6XSxhvIiIi4HK5hPHtu+++08okXk4yRwp/7KuvvtI6HPkx0eVyCWUeMWIEduzYIdSbPIYOGjQIe/fuFcae7t27CzIJqP+2cv+qqKhQ6pvX45xOp5lZyx+5ubmIiooyA3vZ/VwulzYLD8Pn8ylO+draWmUllmEYiuyKi4sTViempaUJfcnn82n1Bvn5aWlpZv/2+Xyora0VnlVVVaX07R49egh163K58MMPPwjnsLlsIBwOh3LdJ598EtThOHr0aCFA1+fzKffxFxDFt9t27doJz/L5fCgoKBDKLctwJv/4gP26ujqtwZ0nJydHsJcBeueC3Id1AfRyIIXsyJLHyyFDhmDevHlCv3K73UHnGOnp6cq9jhw5EtLqet28VnZU6AhlrqVbqRjK82WZ9fbbbwu/5fYAQBmfvF6vVmfidaKhQ4cq8wGPx2MGpfsrzxlnnCE44YYOHaq0Y5/Pp+hjPXr0EJy5PXr0UGyRRUVFQluWv2ubNm1w8803C+/WunVrbT+Sr+WDBrp3745HHnkkaH8IhVACX3UZ5kJBdnaGSkREhGJT0B3TzZ/5eouLi1NWc7pcLnz99dcBnx8TEyOskGSO5l9//dU85vP58N133wnXjRs3TrAf67Z7KC4uFsrI5GBFRQVqampgsViwePFiuFwuXHbZZaYMLCsrU1Ztsv7wxx9/AKjXtf1tFdG/f39MnjxZWDwVCHIc/skxDAODBg3CunXr8Pzzz+Pxxx8XjFUtWrQQHBdMwUpMTFSitFhDYpEomzZtwvz58/HUU09h+vTpyMvLw4gRI3D77bcrKWM6depkTooqKipMJcHtdpspPHWTNDZRadeunakAA/Wef3lJODNeM4NATk4OZs2a5XdCxAsKXsAlJSWha9eu2Lt3r6koHDhwAFOnTgVw3CnFK4zLly83U7oCx40bfB10794d77zzjtL5WF2kpKRg2rRpgjISERGBN954Q1s3fHrXOXPmYPXq1Xj++ecB1CtCl112md8UIZGRkYiLixMiGFikMB+xNnDgQGGjVMbrr79u3mfYsGFKlNs333wjDLLyJN1isWDp0qXm8y0WC2699VaMGjVK69xg38ftduPDDz8U/sYMEB6Px1SYAxnqU1NTMXjwYGWg6Nixo+LYk41LhmHgyy+/NJ/Lf6uffvpJeGd5cvTCCy8IbQQAvvjiCyGyy26347XXXhMU32+++QYLFy40n7t27VqMHDlSUFD5VLv+WL58uZl65q233kJubq5Q36y8vFL3/vvvKwPhwoULMWXKFLMflJWVoUuXLlpl8L333gNQ31YXLlxo/mZK0jPPPCPUmc7Ad8kll2DmzJkYNGgQsrOz0alTJ/Tv3x9PPPGEUHdt2rQRIiv5e8XHx6OqqgqJiYmCcdTtdisKYkJCAi6//HK88cYb5jW5ublmfcvfVbe6paqqCpGRkSgrKzOVy9raWrjdbkEmyBPjBx54QHn/p59+WvhttVr9Rgwy2fLUU08pKaT41af+uOOOO4Qoqo8//thchQ6IMo+XSb/88osgA+TUCEC94jF58mThusOHD5vnMMWc71N1dXV48803A5bZ6/Xi7rvvFvaEu+qqq7TRkAydM0pntJP7v3xOZmYmHnroIeEYr3Cy/8vXhbKqx+Vy4Y8//hDqsHnz5trgE/59UlJSlJUpaWlpQrmSk5PxwQcfCBGUkZGRGDRokNBvbr31ViE1pT8nHv88h8OB9PR0YUy1Wq245ZZbAqbIkaOic3JycNNNNwkTKHnMZ+fxxsOOHTsqExbZuO0vDQuvK7hcLni9Xu3KPEZ8fLyywpHVEa9X+XMc9OjRwzT8ynIlUF3x+zEzxV42oMoOF9kIpDMK6ZwX8irx+Ph4ZTwPJa2RLCftdrtSd7KMslqtgqFS54AoLy/H8uXLzd8xMTFo27atsDrRMAxBtrrdbmzbtg2ffPKJecyfsYu/z+HDh4WJuGEY+Oijj4JOkGWdpmXLlkp716WYLC8vF56nS00lr8LUtbXy8nLMnDnTXA1hGAZ27NihyIlOnToJ7yKPjcnJybjvvvuEb5KUlKRM/nv27CmUq23btiEZIrZv3y6Mid26dVMMKI1xHMrjpcPhUL63bGBxuVwhr0wMhm4Vtvy95f6bkJCgpEbTjVGygSMnJ0dxJsn9TG4jP/74o2IUHDVqlDmf8MeePXuEFQ1OpxOxsbFKP5UDhmRcLpcwXrMVaB999JFwnjwPeuutt7BixQrzeYZhwGKxaNNHy9fKxtpVq1Yp7V2X0kqWkVlZWUJ/8Cfr5TbA9HnGBx98oKQU5esxMjISa9asEf7evXt3Rfa8/fbbimGYl70JCQlo0aKFkF2kffv2eOKJJ7TlZhiGIYwFbFsNPkONjk8++URwEgD1coUPGAwPD9fWG697JCYmKnXmdDqV7yj346efflrI0OHz+fDGG29oyxrK6mZdgAm/TQVwXA/n+zi7d0P3R5Lf5/PPPw94zZAhQwTnrcViwaJFi4T+FRfQrK5oAAAgAElEQVQXpw1UYquVDcPAFVdcgfz8fFOOG4YhrKbh4WV0Tk4OPv30U/P3WWedpawmlvn111+VLRG2bt2qrGaeNm2aIid/+ukn8/8sQIVt8wDU66bySlmZgoIC9O/fHxs2bABQX+fdunXDzJkzFb1F1t3lcRxQ0yUuXLhQkd0DBgwQ9NI5c+YosiWQ7snIyspSbErBMsvcdNNNwry7rKxMmedbLJagek1BQYFynS41o8y9994rGKq9Xq/W4M7LhLCwMLz11luCfuB0OpVViRdffLGin/JERUWhRYsWQr+y2Wy49dZbA5b5jTfeUFZvyavSdMjZgVq2bGnaQRiy7JPrPTs7GykpKYI9LzY2VlklJbNnzx7FfhcZGRnUIQ1Au3c3b3MEjjt9+PIzx74s53g5FcqKQ7aSmr9OtoXIVFVVKSvuZTuAYRjaLEa842bUqFFK6vDY2Fi8++67wn3kvr9p0yYhVfh7770n2E/88dFHHwlO6e7du5synNVjeHh4QIf4tGnTUFNTI8j+Tp06CQuDgPr6lHWRFStWmP8/cOAALrroIlM+nMi+4ry9QHcfXcr0UOFtng1ZfWgYhmnLZ1gsFsXfoZsL8/2vsrJSCVj1+XxKgLbM0aNHhecvWLAAubm5QvY/HQ888ACefPJJ8/f+/fuVhUFWq1VwuDM5wuzaFosFDzzwAFatWoXbbrvNXExRXFysyBLWp5mcfuutt7Bo0SKsWLECU6ZMwaBBgzBq1Cjcd999AW1tOgxfU+zuTJxSbr75Zrz88svo16+fEBW8Z88ejBgxAtXV1YiPj1dS3oSiSDDsdrsinAzDEPby8/l86NWrl+nMYOXiGTlyJF5//XWzrHzZ7Xa74IjJycnB888/L5yTlJSkOLXCwsJQUVHRoPcB6qMkd+7cqU2FBtQbrJghZvLkyZg6daqwr+TZZ5+NuXPnYvDgwYIy6nQ6UV1djcmTJ2PevHmYNGmSMGg0VeqzQDidTjzzzDNYu3YtXn75ZbN86enp2LFjh6I8s+83c+ZMHDx4ULiG7SOpO/9kkJ2djS1btiAyMtJUNpo1a4bDhw/DZrMphqe+ffti1apVyM/Px/fffw+gvm0PHDjQnDiw8p7MchOnhrCwMFRWVsLn82Hu3Lno1auXaQDJyMhQ9r+69tprMWTIEIwYMcK85qOPPhImw+y+wfaSayyhtDvdOQ2VaQ0lKioqpHRtffr0wb/+9S/k5eWZxp/hw4fj4YcfRqdOncw+uXLlSsyfP9800K5btw4PP/ywYNA/2fTt2xcbN25Ex44dBSMEUG9g4dOsyef069cPkyZNElI48O0iOTkZf/zxBzIyMpokgg8I7Rvb7XY4nU7T8JCTk4MePXqYimf79u3x+uuv4+233zaNQREREfjmm29w1VVXmROkxx57DNddd50iQ9u3b68YA4PhcrmQnJwsTNAC0a9fPyQnJwvGaybXedLT0/Hrr7+a/SExMdHvGH2qSE9PR1ZWlmCgbN68uaBgR0ZG4vnnn8e8efOCRsQ3BrfbrTVqMex2O6KiooT67N69u5Jqb+HChUL6wdtuuw0FBQWCk0835hN/fWw2G7xerylvmO40evRoc+LetWtXWK1WoQ2PHz8eZWVlZvvv3LmzsqLgz4BOPzxdOp/83PT0dNx1112YNGmSeUw3RsXGxgpO2r59++Lrr79u9P4xDYWvw5YtW2LNmjXKXnzTp08XjB6A+L4zZ87EoUOH8J///AdA/bjrcrkC7oHa1LzwwguYMGGCMN9iczMeeU62YMGCoM6zk8Xy5cuxYsUKwVj48ssvK6ugmR4CABMnTsS0adOEeWhaWpqymqap4b93eHi4duWaTrdh17lcLlRVVTV5/5T7TzB0Y51s72Dv0b9//1OqyxKnHrk9ZGRkYM+ePUKwyssvv4z8/HxhrJk+fTpWrlwJn8+HuLg4vPDCCxg2bJjZjk72XO5/gQEDBiA3N9d0jhiGgXfffRdDhw71m/Y3IyMD69evx7XXXov//ve/AE6t/pqQkKAEDAeDpURdt26deUw3Np0M+HYoy172e8CAAUqKXma7DUSPHj2CrtDSkZmZqWyr449A44XOvup0OjFs2DC88sorwnGdrthQQh27+Ge1bt1am1qVJykpCXl5eXj++eeFNtGYtiYTSt8IxU49YsQIJWDn2muvxRNPPHHKdFUidBqiZ8XExGDZsmUh7+9NKw7/R6iursbMmTPNDsychhMnTjTPYRHwLAKCj2qyWq1YvXo1nn32WXTq1MlUfsLDw80IYb4Rsv/zipFOKAeKzgu2we/hw4cVpyFbDSE/G1BXU/Tt21fIO/z5558HNEjyew1MmjQJs2fPFpTHyspKzJ49W+mM1dXVcDqdmDZtmjIJZMI4UISQvCrGYrHg6aef1qYH9Ud1dTUuvPBCQTEB6qNwbDabksKNRb488cQTWLdunRAJoxtkTqYhhkVB8REizNivS5tgGAZ+/fVXbNmyxTzm9XpNpyF/r8aWO5TUVIDavnUriuR76SJhGkqo5fMH3/dCuVco6StCoWvXrnjiiSeU9iinZuTxeDxm2pcLL7xQ2ISYGah4zjvvPKxevdq8prKyUnEaZmVlhTyp0236HozGpjU62RNN5jSUU1HLbNq0CT/88IOgtBYVFaGiokIoY2FhoRB9uGrVKq2hJVgbk1dd6DZN9werx1ACNHTnyFHBujGNj5xvCHIawoiICOUb61b6er1eYTytq6sTlHY+yCMQ9957rzIu33777YoMkscWudxutxtVVVUNMk7qxm/ZaQgcjxRlkXYn6jRk76JLORdKZGN0dDRiY2OF+rZarUpUXlhYGIYPH246XEKNmgwWTW6z2ZCcnBzQaciQg7vkiGJAXZ2ZnZ1tBtww5DHfarUq6Zjk9wtln7wTIVCq1qYYQ4GTu4cHT2P34/KHvCIN0K/CraurUyL6d+7cKUT71tTUCCs8gPoVvnwaKV3QRFhYmPJe/LjS1O+sQzfnOF2BYrogINmJHyxNIFCfYi6YISZYu83MzAwpnRkg1mGLFi20+y69+uqryjH+fQ8ePCgY6oqLi7VOQ7lNyHrlwIEDteUOpZ/OnTtXGd+rq6uVeWFdXZ2gj9x1113a+zVUNsg6Tig683vvvaekBp0xY4aiIzCnoc1mw9SpUzFx4kSh/vlx2V+/k+VDs2bNAu4JL8M/T9eOY2Ji/DoNAZhZPJq6fzbEaQjo57e6/bKdTmdQXeRUjR8ywWwnFosl5JS/J4uG7i3IaOieuDqcTqeyx5g/5G9fXV2trHC/9dZblbGGD7aeMWMGrrrqKuFeoczl/GXO+Csiy79QUrDv3LnTXHgA1MuY2bNnB3Tw+Hw+bN++XdBPGus0NAyjwXrKwYMHtf0+UJq/devWKba5hjhbQmknunPkfSZ1K/mvu+46wWnI6oN3GurkzciRI4M6Df2VO1SnIV8eHbr5fHV1teI0BELbf1ZHQ9NVs2dZLBZERUUJTkPdu1gsFuzduxdPP/200iZO1GnodDqD9g273R6S7UR2Gk6fPh2PPPJIwHYcbJuSk0ko/fpUzFGaEpfLFXKZ5fkzP193u9147bXXsGLFCrRu3RpHjhzBrFmztPur6yDH4f8ANTU1uPrqq83UIXzDWr9+Pdq3b48ePXqYexSxgaS0tBTTpk1D+/btUVdXh4ceegjdunXDo48+at6jsrISlZWVWLRoET744APTyMn+/v333+PQoUP4+eeflTSRuvQyPMGMnsy4wd+jpqYGRUVFyM7OVgxbbGBghv6NGzeaKwj5tGM8/GagTHi63W4sWLDANK6xcm7btk0xuDHmzZuHzz77TLu/H3A8FZxOmTp69KjQyb1eL5YsWaKkA/D5fLDb7X7rlN+fj6e2tlYxerJ3ZdcEGjiaQrh269bNryLJnr1//36zHtg76AYer9eLK664QjGI8dTU1Pg1PPrbP0ves2PIkCHCMnx5b4rWrVsLz7VYLHjttdewfv16odzPPfec6Ux0Op3aSTePrr4NwxBWiNTW1iI/P19Zsp+VlRU07Vy3bt2EiVFtba2SFlPm2LFjIW2cK28+DNS/M3Ocf/fdd7BarXj22WeFczZt2oS8vDytoskUn/z8fKxdu1YwxlmtVkUZrq2tNVMSdOvWTZvmprCw0FR42L4YPNHR0WZaE2aUcblcipOHKdT+JvK6iYndbjdT1sllj4+PR2RkZFDDQHR0tN92Ivcz3STnm2++CWj08Hg8GDdunKAUFhQUID8/X+h3Dz74oNCe/aVT1aV646mpqRHep2PHjto60L0zG3d0EwP5fJ3iH0j28UavhtKqVSts2LBBMCB27txZkUvV1dVCSier1Yq4uDjhmTt27NAayPgxVPduOuPt0qVLhVWY8rUtWrTA+++/L+wP3K5dOyQmJippV998802/TuFt27aZq755dE6PNm3aBN3L2GKxBDVGWa1Ws4xyzn+g/j2dTmdA41Rpaali8K+rq1OuOXz4sPBtQ51UBktf5fF4tOOebOTVpWvUTRJ//PFH4femTZuCRsDW1dWhsLBQ+Hby+z322GOKE5TvsxaLBRdddFHA5wDqBIffi5qhSzkeDF0dyg5H3d6dodxb14Z1jlQmixtiLNe1cfne7dq1U4I/vF5v0H1IKyoqlLG+qKhIMXL+8ssvQjvUyT9+byoGr7P6fD5hHyKgfnzz56hpCIHGR9YnA33HUAz+wYJdrFZrQMPI7t27Fd1j9+7dyjV8OnSg3pgajGBG6R07dgS9j04G7tq1SzvHCZbK6LXXXgtqfHI6nUp74YM1gfrU/7pys/cNJLf9ZQTg9yFj8KtA/ekmoQTU8bJLvg//bv7amxxYAxw3FurSGt9yyy244oorAhoUw8PDtSlxeV3Obrfj8OHDQuo2mYbO+9gcl2/fwb73n5lBgwYFzTJxKhyHunYQTB+9/PLLgwa7ORyOkL5xYx15Dd2jHKiXEcHkSCh1Xl1dHXJmDL6N2u12rW6kC8hiQXDR0dHYsGFD0O1GdOVu6EqdpgrgHTlyZEiO5YYY/mX5J88xdOzZs0dJt87GH39tc/v27TjvvPOaJADB5/M16j668TeQE+1EneGhfAd5Dg2oc1v5t8fjwZNPPql1jvHP1Mmb9evXB5UfTeE48qfr6FKaA6HVdUPGtsYGc3u9XmV+dqqDxUNxqAezzTDkOmNpZwPV5Ymu8DwRfD5fUB/DXyUbHZtnV1VVISkpKWBQhmEY6NOnj5Kq+OjRo7jxxhvRvHlzVFZW4oknnsCAAQOwZs0aREdHo7i4WEh5GwhyHP7FKS8vx4wZM8y9JDp37mymED333HNx9OhR/Pzzz8jPz9duVH/NNdfg6quvBlBv1N+7dy8++OADYUXh8uXLMXr0aCQlJWHp0qWIjY0VDKpnn302Ro4cqSgAdXV1ATumP6HGjJ1sxVBUVJQpnGw2G/bt24fy8nK/m9gnJSWZOdJZpKbO0HPppZdi4cKFyn56lZWV5qqZpKQkjBs3DsDxiZGsyI8fPx4VFRXCPiDMyCk7UnhFkV/JxIxkTNDplJD4+HjU1tbC5/MpOfiB4/XJv2tubi7OPfdcZXDq16+fcA2P3W7HhAkTzEHZ5/NpN8CdM2eOkNIoPj4eL730knAOUxwOHTqE4uLigAIvISFB2VtSZ2QtLCzErl27zN/Nmzc32xnbq6KmpgaVlZXafYdY22DPYBMcOV3JkiVLhBz48n45v/32G3r16mXuo+L1elFVVQW32y20EZ/Ph5tuugnA8e+fnJwsKFVXXHGFX8cvOxYeHi4oRU6nE5MnTxbOe/jhh4Uc7To2b96M888/XxjwZ86cqVXC+GP8ik6gfoCS84rr9sKZNm2a4BhZv369cq/09HT07t0b1dXVsFgsGD58uHKfVatWmftcsbI7nU7FiPLuu++isrIShmGYsow3vE6ZMgU2m82sZ96IxLjqqqtwxRVXCDLzwQcfFFZM9ejRAx988IHi5OFhExNegTn33HOxfv16xMXFCf0yJiYGRUVFKCsrM9sJ/43uvfdec+Lob4+Ba6+9Fm+88YYg0/wppsEUbPm62tpaYV8boF7Gh6p4BkIeKx588MGAK591K450hgJZqdW18UDRnPKYxujevXvQlWOtW7eG2+0WJugej0e5Tt6Xsq6uTjHUVlRUmDIEOP5efB2xY7KyzgfYREVF4dChQwH3/mrRogXCwsKEfuH1egWjhdVqxb///W/s3LnT7+SAfSt+ny+bzYYrr7xSOM/lcmHq1KnYtGmTcJx3XBqGAa/Xa6aQ1U1W7HY7/va3vwnPlx0MNpsN1dXVpsHX36TH5/MJQQI2m0076Y6NjfVrzElNTdX2Mf4+LN2oXEbd9/niiy+E37oAFN1E/bnnnhN+L1++PGi/4Pcb9YfT6cSCBQuEY7xe0qFDB9x1110B96sB6sdE3tDdrFkz5RqXyyUcY3oB33fletTJCFkfOHLkCLp06SIc48vib1WlbiWK7txQ9v+QHYW6azp16iTIjerqasVQ2bFjRyGdKD/GMTZv3qyUXReQwJw3fDvh23JOTo62rfFGV5fLpYwXmZmZ5r4cDN2erzJy+8zJycHf//534Rj73sw5oWu7LKgqkLGGBYgFM3rU1dUFNGIz2SzLgFACXE4UNiYHWhWsG7/8jXc6ePnor674thzISM76ANOjdI7hSZMmBd0fs2/fvsLv8ePHK7IkKysLnTp18ltOoH4MDGbUHz9+vDBuA/p9TnNzc4MaB+WMG1FRUejcubNw7MILL8RTTz0l6DmycyY6OhplZWUBU8ROmDBBkXlyG2WyI1gAmw7dN5LrtzH3ldGNrWyPzGAEMyi2atVK2cdMRyiGUfk7ygHPwcrD5hzy+06ZMkUJumEyecWKFX7bL5M1zJaggx/H/TnygmViYbaXhhCKIy1QX+K/vb9gB3aOLtNHY+Yy4eHhyt6dOhriILjkkku0Y0JTOd7Xr1+vjM08rD2eTsN/IE6mwZ/Xa/g5SCCsVmtAJ42ufzdv3lxZFSv3KYfDgcGDBwu6vsVi0e7dG4oTVJYhffr0QVlZmdA2me0g0LePjo4O+ryzzjpLmaMEWpXZEMLCwoQU/MDx7xbK6rlA5Q6U6YTByxl5D3l/2Gy2gGOTv7/J2ep0tlh5DsH2UzzRfhJotSVr740NZgh1RXp0dLTQbvzpyvJ8ZODAgUqf5PuXrk9269ZNSNdpGIZiH2rRooUSmNWiRQvFxzBgwABtOQNhsVi0Cz94Pa+srEwJyhgxYgRyc3MB1H+nDh06KO0pNTUV06ZNM20kGzZsQE1NDRITE00bDb+KO2A5Q38l4s9GTU0NJk2aZK64GDZsGH766SfExsbiwQcfxKOPPmo6dhYvXmx2fDZ4ZGdnw+12o0ePHuY9t2/frkQh8pGXnTt3xmuvvSZ0wNraWowdOxaDBg1SyhhIWdIZ25955hnTgGi325GRkYHS0lJz8pednQ2r1YqdO3di3759fu/NVhExRUueSE2dOhXTpk3D5MmTTceDbGjq3bs3nn32WWGJdn5+vuLMqq2txcKFC83fLGVLdHQ0vvvuOwDHB0x+IM3Ozhbuk5+fLwgz5txjDB061Pyex44dw1133aVM0iZOnIiPPvrIdFz98ssvWLJkifJuCxcuFDZhTUtLM88JCwvDHXfcgUcffdT8+5tvvgmZYcOGCZvLHjt2TFFG2fffs2cPYmNj8corryh5lNkAkpiYaF7PBLMuXZu86S+bIEydOhUdOnQQztVFa7LJPTOcsDbCTxrYIMCvRmvfvr3QF7p06YIVK1YIAzsrPy+0d+3aJaQjSkxMRFhYmKCY5ebm4u6771bKyrN9+3bhOxYWFmLNmjXCOb///ruwEiE5OVkxkvz973/HwoULhTIeOHBAa2jlJ/gej0cYtPPz83H11VcLCoBuxVnfvn2FMm3dulXZCzU6OtqUO2yVIO9wAOq/G5M77Bvq9jdhQRRMsU1LSzO/bWpqKubOnSukw9IZWfLy8uBwOMz263A4FAU7KysLcXFxpqJtGAZuv/12RYF45JFHBHmZmpoqXMe/n1xu1t4Mw8DIkSMFY6lOKRw+fDji4uKEPfuYA4tHfrZO0WjTpo3wLtHR0cqqsAEDBgjtxmazKZOTvLy8oJu55+XlCW2tZcuWAQ3K8upfQK8I6lKzyMjtXpe2WTbAut1ubRl09+H7R0VFhTKZku8THx+vyPXMzEwhgowpybJifODAAUHW9OnTR9jLMC0tTTvp5N+Z/Z83Lh44cECIvs/MzMTGjRtxzTXXmO1QNsRYLBZMnDjR3PcKqG9nbEzky3T33XcLfatLly6CE0KuD52s6tKli+KUkw2rHTp0gNVqNcfwbt26Kau0mjdvrqQmzc7OVtqSYRj47bffzPFDflZKSgrWrl2rlJOXobGxsUrktz9H9rFjxwQ5onPc6HQqub0dO3ZM6Ster1d4P4/HE1KqQ153BETnPXsGP4a2bNlSeXZubq5gQLHb7coqcIvFojgAxowZIxgaO3fuHDQ9ltz/vV6vdr8r+f+y4TspKUn5bsGM0YDorGHtQBfUpis3mxgC9TqP/F0rKiqEwBZdcJluFYjOQMTqlY2bMTExQt+SUykz+Lp0u91KauLi4mLFKS6XKSEhQTEOyNGzNpsN/fv3F47pnBFnnXWW8DvYqmag3mnAB6MBesdHeHi4ILPkFWq6FdJRUVFKvzUMQzF2ye8vPz+UcSwnJ0fQzwGxLzLjg9xnOnTooBzj2x5D/m6yjL744ouV5+scmfn5+YLuPWbMGKVtDRs2DJs3bxbGBPn5gwcPVnS5CRMmKIETrVq1EoJwkpOThTnduHHj8NxzzwXtzxMmTBBS4A8ZMkSZG7Zr1w4FBQXm79TUVKWdDh48WEjdFhUVhby8PHz44YfmsczMTLz77rvCKrJWrVoJum9+fj6GDBkSsMz5+fmwWq3Civpzzz1XaH9Tp07F/PnzARwfT+T20KZNG9x+++3CMaZX8P2bGd5ZvbB2zY9T8qpk3dgu96OJEydqnbQ+ny8kB00wo2VxcXGTBMQBapCf/Hvs2LFCW0tPT1fqe+TIkcI5U6ZMwWWXXabIDTbfZcfl4OqpU6eaMsCfUXnq1Kno1q2bcEzO2NSvXz9ljNYZkOUxcurUqUq/1ckEWSeW76OT41OnTg26iq53795m+2D6nVzXOsOtHJDAw2SOzqAt16NOt5PLPGnSJLRp00b4PnIfOe+88xR9SBdIL1/H4O8tv//UqVNx3XXXaa/jGT16tPBbp1vI99bprPLckGXcaajTIz4+XtBh5THS4XBo9UNZT+IdQcXFxXjppZeUti0H3bRo0cIMWtfB7Fj8QoKKigo89dRTQr8+cOCAcJ3X6xXsuOzYnDlzlGfI+tCwYcOUMWzdunVCORcuXKjsZ9ynTx/07t1bOCbbC1599dWgWxUsWLBAuTfL4sRITU0V5vkpKSkYOnSo0JdcLpfiqHnzzTcF+yWg2lMtFoswlqSlpeGtt94S2oU8p4uJicHbb78tzGXbtm0rOK6sVqtgG924cSNeeuklJRhHHosTEhKE6xisTbI52LRp08y/2Ww2fPbZZ8K77dq1S2nHl1xyiaBXlJeXhzSvaArkVZU8gbaUCOTg5XXpCRMm4F//+pc53jscDowZM0ZoIw6HAx9++KHQLx9//HGl/Y0dO9Y8p6amBjabTainhIQEPP/880KmGF16ffnbHjhwQLGrLF++XHiPpUuXKuPazJkzhfbvcDgwdOhQpT74fsz0B/YeUVFRuOeee7BmzRqzDej2Ju3evTsMwzDn7FVVVaY+yeyz+/btC5oRCSDH4V+a7777Dj/99BMA4Oqrr4bb7UZdXR0qKiowevRo9O3b1zQi7tu3z3T+sElZQUEBNm/eLAyKJSUlymo32RiVkJCgrKSbOXOmNlI60D498iC5d+9ezJ8/31QYOnToYJafRUD/+OOPprDXpY9gsHdiwolfoZaSkoJx48Zh/PjxZv1dfPHFglKXkZGBefPmYcKECebkrHPnzti4caMSFcfnLh8+fLgZtcscmy6XS1ktAIid+8ILL8TGjRvNTtu2bVtlclNbW2umpty/fz/OPvtsZfLG6oYJu7KyMm1am/nz5wt1cv3115uGqNLSUvTu3Rt33HGHeR9dpNtDDz0kpNqprq7GbbfdJpzDT+JKSkowYMAA7X46AIQUSYGi4RiywW/16tWKQ0qXS52tJmXfRxdxz4Qz3zeuueYacxNv4HgEET+ZZ22DnxyuWbPGXNYP1Cv9cgqc2bNnY9GiRbrXFO7NT5arqqqUDa2rq6uFwTMxMRHr1q0TFHZZ4WL30inV/KDZokULQYF866230LdvX0E+6Azljz76qFCmiooKs9/xz2dyhw2csvLatWtX03DEHGFxcXGKjOENNZ07d8asWbPMc4qKitC7d2/BmbJ48WKlzEuXLkVpaalgOH3//feFc9jf2ATU5/Ohb9++WLZsmXDeOeecIzghWNnliFjeKNa+fXtcf/31ZhtnG5gvWbJEKSsPS43GO2qTkpIEZ31sbCw++eQTrFy5EkC9kvbiiy8qk8WhQ4cKbXLOnDn4+OOPlf0xmdwwDAOPPPKIohAWFBQEjRJevHix4ITIzMwUoqpk5Y0vA+ujuvYrTz51E/dgqX0B1Sj85ZdfCnus6mAKNf8etbW1QaOGWYpTfoxlTiq5PHxOep/Ph3HjxgmKn7zqaMuWLUoaTkCU00we80q/nPu+qKgI8+fPR11dnXmePEmNi4vD2rVrhfbAJuI8P/30k7LyVk6XJ6cd1Sm3f/zxh9mmgfpxXg4ucrvdQt9wu91YtmyZ0C7at2+vpIGMiIjwm+GAIbfxL7/8EldeeWXAlb1er9fcI5ERKJU1v5fViUSD6yL75fIHS3V40UUXKRHErO3w9+PH0PT0dIwaNUq4xu12C0Zah5RtIGIAACAASURBVMOhGGpqamqEgLaMjAzFSbBp0yahb+kmtDrjntyW+LGSvYMcxNC2bVslKEnnaJDLyMsa1i9lR5pupcTRo0cF+aZbcc70TlYO9v58+2NyQ67fYIZ0/rsCMGVfsH23ZXS6llz/7du3V4xwunmETofgycjIUOqWX5Hpj5qaGiW4TXaKdenSBZs3bxYMwz179hSMkElJSSgoKBBWLXTp0kUxJssG14yMDHMuxevxPP5WXPNMmzYNTz75pHBMjoK++OKLlfssXLhQ+E5hYWHaFdC8DpWamip8I4vFgjfeeEPQl3XvYbVa8fHHHwv9PysrS5FtX3/9tfK95f72/fffKzJrxowZSn967733hDFJnh+9/fbbOOecc4Km+ZoxY4awenfnzp1CG2zWrJkwj7n00kvRpk0bpZ1+8sknZn+2WCzIzs5W9sPavn270OezsrKEMdHlcuGVV17Rpj5l2Gw2HDx4EP/+97+F4/zc1DAMjBs3Do899ph5rEuXLoqzc9SoUULbioqKwg033KCMdXzdWywW3HHHHcLfXS6XssejLGt0x1555RXFftAQgq2s1ZWhscipL+UV35999pkw71+yZIlS319//bXZv2w2G8aPH4/x48drA8cYAwcOFMYfq9WKV199VcnswMO+vxwoLI9jl156qXBOVlYWLrjgAuEcm80mlMftdmPcuHHKuCzX9TXXXCO0bYvFomQTkQNSDMPA2WefLdg0dMjO4Isvvlh5vmzcDWVfTpvNpqwkdblcgm5nGIYyJtpsNkVmnXfeeUIgOiCmm+/RowdmzZqlfFuds4e/TjdmDBw4UJD1NpsNr776qpnZxx/dunVT+q0cJGIYhtCOzznnHLz66quCE8hqtQq6R0xMDJ577jlB1/FXbl7W6HQveR7q8/mUegVUxyGv+5eVlSEhISFoFqeEhARl9bnMjTfeKIyR5eXl6N27t9CHZd3f4/Hghx9+ULak4cdeBsuMxpg7d64wHwLq5TTvqC4uLlbuXVxcrMy/ZCfh+eefHzSwYuvWrcq977//fuF3y5Ythb6+ePFiZc7aqlUroa3Hx8fjH//4h9LXZbtily5dhPo8fPgwxowZowTA8VRVVWHRokXCuHXPPfcIfdvn8yEvL8+0xRUXFyMhIQEvvviicK+5c+cK9rqEhATk5eUpQdz8WJSXl4ebbrrJtON6PB707dtXsDF++eWXyvi1atUqRa8IlHUgVE40jWqguWyg1eV822JzJtZPq6urMXv2bCHYtKamBtHR0UJ9FxUVafsNP/7cc889gq75/vvvo2/fvsI8Uq7XHTt2aBekyOP6wYMHBd2+VatWymKIiRMnCkEpLpdLe29Zli1YsMDsIxUVFcjLy8PAgQPNejt48KBgBwXqne379u0T5n7sG/D9O5DPhkGOw78gzBDJ0vpdeeWVuOqqq8yGVF1djaKiIhQVFQmTDVnJrKmpQW1traCE/f7778qkTY7s0w0Y/oRAIO+1rFCzCRxTJHhjHit7bW2t+fxAQo0ZOplywQ9EaWlpmDhxIvbu3Qur1Yq//e1vWL9+vWDgdblc5jmMX3/9NaAwHjdunBKBD9QLHl1Z+TL997//Fe7do0cPIZoVqF8JwUfCfPfdd0ok4LFjx7B//37B0Lt7925FgMurSuW0IiUlJSgqKgqoMO/atUu7n+L/AkyQ8spAfHy8MBAUFRWhpqZGWEETHx+PkpISYTIir7DRRWodO3ZMmQzJxMfHC5Oa5s2bK/tYxMfHC0oF6/9yNNL+/fuFwSg+Pl67wotvN//85z8F4/mxY8eU/ZF0xuzi4mKhTA6HQ2k3NpvNvJZFQMv1sX//fvMcJit0E3x27/bt22P16tXCxKy8vFxZ5q+TXUVFRdi4caP5u0WLFtr+CIhG3OrqasWA99tvvwnnMEOibPzl5fPYsWMV425JSUlQgwerM74MUVFRghLBlFI2qU1PT4fdbleMutXV1YJjunPnzigpKREUKd6ZmpSUpI06Pnz4cMCoNLfbbe65w2jevLnQ9po1ayYY9F0ul5JOUZfqQx5/dKtS5HQ0fJtiDm/dPprBlGoW/c6Pcw3ZK5E3Vnu9Xq0RgJ90sX4tl4HH4/EE/BbsWYBqnOFh/a9Tp05mpKs8hrAxiA82CJS+ir1TQ9Ll8cjvrhuLLBaL0Dd8Ph/KysoEXaO2tlbpw3V1dYqcYHXLrtWNhUVFRVoDBiOUPSj+rARLVeRwOLBnzx58/vnn5rGqqirFeVNVVSUYoQzDUBwVxcXFQv3rUgnyuiErn4wuDZHcH/jxmemPcuSsvEJTdw6gjoe6cwK1D/4Yb8zQBR+wY2yizcY5fnUGG3Nk46huTzR+laf8HkxGBPr+Olmnm5Tq5KhcJ7q+LI/jso4bExOjlDuUNFaA6oST69vhcKCmpkYIHvH5fIKsr6ysRE1NjXDM5/MpASfFxcVCuRISEsx38Ve/Oj1Llptz585V2jYf1HTWWWfh9ddfV+px8uTJwnOrq6uFc3SBEAcOHBDO8Xq9OHLkiFJ++VvX1dUpDqCHHnpIuf+hQ4dgtVqF/Tnl6w4cOKAYmXXHZOS2VVpaGpLBTL63bMzlx885c+Zg06ZNZjYMHr6fhIeHmxmEeFj7MAwDzZs3V9IUV1VVBZ17eTwe7fP5NhITE6PMe7dt26bMe5ctWyYci4uLw4QJE5T+xff37t27K3t+6ubGoaw0akrH3umGb8dt27ZV6h+AEAAVGxurnCO38fj4eGzevFn4HnV1dUF1K5/Ph4kTJyryTpbb1157rXBOcnKy4rT2eDzCOfHx8Zg4caI25TujQ4cOWL16tWLc1+mxcrmvvvrqoPoUC041DAPTp0/H66+/roxTcpB3VlaW0Cd1K9luuOEGbZ+Uyyjj8XiULBkzZswQdBvDMIR5TIsWLTBhwgThmM/nwyuvvCLc+8iRIwHtbzabDZs3bxbK5fF4tHJbZsuWLUL7s1gsSpAIIDov8vLylHZbV1cn/M7OzlbOkfWsjh07Km27pqZGu1czT21trWIvs9lsSl+TV0AeOnRI0dvkNty6dWshQ4dujMzIyFBWXOoCqWRKSkqUMVp2kgH67Fo6my+vWx85ckQ555NPPlF0KbncxcXFQR0MpaWlyr1l3Ufua3feeaeStUpeRFBZWanNbCUj11FpaWnQVMhVVVXKvd1ut1DuiIgIHDlyRHBWHzp0CEeOHBG+e0lJibCYpnXr1jhy5IjSdvg2axiGIqNLSkoUW5HO4fm/itfrRWFhoRA8UlJSosz3f/zxR8G+UFJSIgTaAvWLdXjZlpSUJOhNbM4eSJfyer3Kam+73a700ZKSEuE7/fzzz8p1JSUlwmrS6Oho7dYe/HucccYZyM/PN8dAj8dj+nv4tiW/Q1VVFerq6gTfAPPt8IFrwbL2AOQ4/Muxbds2QYnxer3mQHDfffehsLBQ+MdH7rKIGDZ4GoaB1NRU0yDucrlMocUGa4fDYRoinn/+eeTm5ipec5vNpkTksmv85Zk/duyYX6WGTQqcTqf5HmPHjgUgpk/jHZpy1C4zVukis7/44guUlpbC6XQiMjISK1euNH/zqxlLS0sFA0JFRYViUACOK+0vv/yyuXrJ6XTi1ltvNQ3PuhQNDofDHGjKysoE5T85OVmZHLVr104YwJ599lmkpKQIg1VmZibeeust4bpA+1kxRo8eLSg+X375ZdAVcFVVVZg3b545gAaaoPfq1QtxcXEwDENJacscMOz5LVq0wJgxY4KWefDgwQDq06bI7YShayPMaMbvkyfDIs7vuece81jHjh0FAV5UVIQPP/zQFNCGYaBjx46CoZTBP+PCCy9EYWGhGfllGAa+//77oGm0OnbsKBg+W7durUyg4uLiBIfXr7/+it9++01Q8goKCpQ2YhhG0MlCRUWF4ATYsGEDCgsLhUhHOVIfqHfg8auYdcZT9i1atWqFSZMmITs7W6lHVr5mzZqhqqoKTqdTu5E9Y/fu3fD5fOa7t2rVCoWFhbj00kuF84YNG6Zc26VLF6HM/P5qDPb9eGdZeXm5Eq33xRdfCEomizAKtM/Lww8/jE6dOpmTAcMw8M033+Af//iH32uA46kDeQNhu3btBMXy2LFjqKqqMleHbtu2TRlXgPp+wtJ8WSwWZGZmats2k21//PEHOnXqhMLCQrMtN2vWDIWFhQH3A2TflXeCJScnC+0xNzdXSJf22WefmVGAbJIjTzDtdrsyudE5zeQJPw8bP2TDurziXofb7cYPP/wgTML8Gbz4dNgMvl3ZbDat0U+OKpNl8LX/196dx0VV7n8A/5xZmAGGHQTZJEVcyLQsReWnlrmhmJqaN5fKSs3yLllq9HJtsXvV9JqZWUpur1fmkoBompqaZqUJcl2gW5qlooYKKAgzwPz+4HXOPdsMg90kvZ/3X8xw5swz5zznOc95lu/zl79gx44d0ut27drpzlqVd56KZZV81LHefa9Lly4YMGCAIi6+OqRN586dNZEIXK0hIT/fXbp0UdwDAgMDdUMhuVs/T+9YX79+XVE+5ufnIzc3V5EvysrKFNsA/xmQo0d8GFV3QCcnJ2tG/KqVlZXh6NGjivuUXgMAUDuYQJ7H161bhyFDhii20RuUos6rZrNZc07WrVuHXr16KV6rZ32p63hiODtXxPVn5QNn7Ha7JgpAZWWl5tiqR7PrkYcbBKAJFaRX5/Lz81McQ4vFoqmHent7S9uID1nqstrpdGqiBniybpfVapX2LeZndRg0vRB8VqtV0RCi13EklvHidSS/74nEvKqeQaxXT7ZarVJniPgArJ6Jq3cvF8t+TzoEAf36l/ohXG9GQV31pQsXLkjrt4vqWm8TqL0+1LPb9Bqc9uzZoyhj1J3bpaWl2L59u2bGdV2dHleuXNEcO0/WQFTn92vXrmk+J8/re/fuRWlpaZ2dpNXV1Ypt9M5hRUWFYhvxWtC7b7hLtyAIuo3/4lpP8tlyXl5emjBP6vzo5eWlGyZdnp+8vLwUa3ADtXlSnefU5Z+Xl5fuQFE5g8GAnj17Yu7cudLAH4PBoBmkJz7DicdePcAFqD2W8gEEBoMBCxYsUMxg1Rs8pQ5Z5i4vlZSUoKSkRHFOxJBecpWVlYr3zp07V+eApJycHN1yRq+cVrNYLNJ26qg6cnPmzNGEDFOH3Pby8tIcJ70yV11PmTNnDjIyMhR5TC/MvXrdsrrIf/+ePXs0x1+9jdiQLH9P/exWVFSE0tJSxTbu1vIWCYKAkpISTd7XK0fk23zxxRe65Zo8D58/f97l2uyigoIC3e/3JAx4fdb/S0xMxIcffug2z4plmPp5Tl3+2e12RYf4yJEj61z/3NX/a2pqNMfI6XQq2niys7NRWlqqeE8v5Lrdblds42oQoXwb8Te7i5Ih7lt+TpxOp+b71emePn06SkpKNPuWvz58+LBmG/XxPnHihOa8bd68GVOnTnWb5vDwcERHRyuu/TZt2mgGsqmfg9evX4+lS5cq3lM3rj/88MOK2aV698gDBw7g2WefVbynXiNcT8uWLRXtUBEREZooJYB+O596/waDQdGGGB4ertlGrx1IPXNr//79uh0M8vImPj7eo98nfxYRz4X6epeHRRafp92FwdTb982KjIxUDApyOp3Ytm2bosN5/fr12LZtm+K8h4WFKc5JcnIysrKy3A5uqKiowLZt2xT1v2+++UbxTGixWDTlR0xMjCIMqre3tya8v0h93Dxdx1NNr66h3pfevj2pE8oVFhYiLy9PERnCz89PMSHAYDAgPz9f0c4VERFRZ4SuEydOKNIzbty4OvOsyWTSzFJu06aNptz29fVVPGd99NFHmrDUYWFhivtWWFiYbrht+TVZXFyM0tJSqd15yZIlKCgoUDwzGwwGad1s8TneZrMhNDRUatuIioqS2mvEKFQtW7ass+wH2HF4WykrK8PEiROlDCOe9B07dug2oNvtdkVmFke3hIaGSjHE//73v+O9994DUBt+RGxEFQuF6upqaVZTQkICysvLkZ+frxgVkZycDJvNJqVBXNsIcN1pJe5TPvLZz8+vzoJeXujKCwl5fO8zZ85IIw/0Gi8qKythtVqxaNEiaR9ibGlx+6qqKlgsFsUDhdVq1V34XQzp6XA4UFpaKu17zZo1KCkpgdVq1YTnAmo7peSVeXkISb10Hzp0CCtXrpRef/PNN/jxxx8VBXhMTIwihIwgCEhPT9fsSx37+fLly1LFXxAElJaWuu2UAWpHAk2bNk06J3ohMMXZoyaTCf7+/nA6nZpZcmK+FDsOnnnmGbcPt2LBpheuQU0vj4i/Sz5DV+3QoUOaB5F9+/Zh/vz50uvy8nLFTcbpdOLgwYOaUJUdOnRQnOe5c+dKs/XEz+3bt6/Oh+rs7GxF54Fe5XHRokVYt26dIk0TJ05UVGg+/fRTLFu2TPG5t99+W3d/8grcq6++qniI+uc//4kbN24ozoO8MVU8h1u3bpVGIxoMBt0HTDFPtGvXDrGxsaipqdGMGBMbS8Xz9dhjj0lp1gu1VllZidWrV0sNNmKnpnzmFqCcqSQ2Rn700UeKWbl6IW+/++47TSVw/fr1ijwC1HbiiY24giDg8uXLKCsr03RqyY+13W5Henq6VA4IgoDCwkJN6DG11atX48KFC9i9e7f0nt6D7uTJkxUVsddeew0FBQWK666goEBqaKypqUF+fr6m47JVq1aKRuyFCxcqwkhduXIFS5cuddtgUF5ejgULFkjXm9Fo1DT2xcTEICUlRfGeWHkWr2NXIQflo0zVoxcdDkedYXkAaMKiiPc1d41ep06dUoT8AvRn0xUWFioatyoqKmC32xUhpc6ePasJaXT06FFNx2FdAy6cTqemfAKUnVWFhYVYsWKF4jpRV/YDAgKwdOlSXLhwQTr+AQEBivuWr68v+vTpoxhsYbPZdPO9vJMqKCgIDz74oGIEdYsWLRTlhngPcNcwpjcwST0y8+rVq5oOIPlMEfF6UHdk6NG7j7jqbBRVV1fjz3/+s+IBw1VjVkxMjOL4Xrt2TdOZXFpaqjkO6hnvU6dOrTPsqsPh0FyzAQEBirpGZGSk7sOj6MaNG5oRxnqzWNX5+vz585qOLbWqqirNvtXp1etcO3nypOIYhoSEaDopz5w5o6l/qessJ06c0KRRHU4N0A44OH36tLRvsSxQ5xG9fHv8+HGPG0bVHWp6If0uXLigKOv1Bvip18wBtAP09BqZ5Otwquk1mqhHxqojZgD6YZf06ivq/ahH9Hsyk6ygoEBT3qvzVmVlpaZRQp2PHQ6HJjSjJ4P4xO/WCzEr0qsfq697i8Wi2U7vc+rBHmqCIOg2dKs7VuT5ThzY5UkYcPl+XA1emzlzJrp27aq4ptPS0hQjzBMSEnD9+nVFmTRq1ChNHrj//vsV28yaNUuxDrjFYsFbb72lyZfq9dPT0tI09181+TMmUHtO586dq0h3RESEoo5mNBoxaNAgxfebTCbNmmLLli1Dbm6udB0YjUZN6GhA2XhqMBgwYcIExWv5saipqYHVatWs4VNXWeBwOHTrQvJ8W1VVpdshpl5jWE98fLx07sU06uWV9u3ba8oFdZSDe+65R1MOqMsbvTWN27dvj4kTJyoGgqn388ADD3h0jcvJB17W1NTAYrFIjX4ief2sqqoKVqtV93lbThAEJCcnS68rKyvrbBR0Op0wm82aAaDqYy0IgjRwV0y33r7lea+6ulp3G3mZJP7+Hj16KLaR/w5XPBlcIW5XVxg/QRBQUVEBg8Ggmf0nJw5WErcRBAF79+7VDDpXczWjpbq6GlarVfM96rV6BUHQXQdazmq1ur0X6+27oqICVqvVo85v+XOVq3Jb3knhcDhgsVhcDhwUv99isdTZuSAIguJ+l56eXucgvYsXLyqeqYHaa1r9fKwOOblz505N/V/9OiIiQhMCWm3jxo2aDsgVK1a4/QxQ+0wtrzf36tVL04YBQNPOl5eXp6lLzpgxQ3Gurly5ovktZrNZU5eQL7UD1NZH9Z5l5fl25cqVmjqrer89e/bUdGT17dtXU09UP6OlpKRotvH391dcA3369NHsu3///orXegMS1J1CFy5cUNT/rl27phlY9sUXX2jOyWuvvaY41idOnMDOnTs13yfP60eOHNEsyyFvmwW0kVWA2ueTV155RXptt9s1aRSpr1V3s5Ldlal6dUL1s71eqFJPy2nR+vXrNcunqdtsampqNPlfL9KVulxZu3atIo0nT57UDBRRq6qqwosvvqh4LykpSfPMoF4C6dixY5poGunp6YrniB9++AEzZ87UfKf8vvnDDz9g/vz5cDgcCAgIkOpmS5YskbZxOp1SnomLi5Nmrc+bNw9r164F8J/QxkVFRdi4cSMA1BluWSQ467sCLTWY+fPnKxr8k5KScOrUKVy6dAmxsbGYMWMGkpKSYDKZcPLkSbz55puKxkcxvE7nzp2RnJysmFEWHByMLVu2oHfv3lJhL85CCg8Px8yZM9GtWzcMGzYMx44dg9FoRHV1NQwGAz755BPk5eXh9ddfR01NDWJjY5GdnY3+/ftLleh7770XH3/8MV588UVpdoXRaITJZJIqXW3atEGfPn2kQiEyMhIbNmxASEgIXnrpJWRlZcFgMOg+/Kenp+O5557zeMp2hw4d0Lx5c+kiEtMjr0RYrVbF/lq3bq1bGO/fvx9jx46V/tezZ09ERUXho48+AgA89NBD2Lt3r6aCMmTIEM16TyKbzeayQJcfA/Xx8GTmGFBb6ZM3dKl/u7vvV28rvte7d2/N2giipKQk9OzZE6+99prifX9/f0Xh3qxZM6xcuRIjR450uV5BXFyc4n8dO3bEqlWrUFZWhieffNJlwZ+eno4pU6YoOkzU3y/n4+PjcUgc8TzIQ26K9I6Xn58frl27Jn3O0/PmKYvFomnI1kuH3nZq6t8kliOA+3wyYMAAZGZmKt4bM2YM1q5d6/I7x40bh3vvvRfjx4/X/E+e/qCgILRp00azxqOoXbt2yM3NVZQxkyZNwrBhw9C1a1eX3z9ixAh8+umnivNuNptdPugFBwe77FRw9bmgoCDY7Xa38d/rsz81dZngqswEah/s6kqHeNzl510k5ltvb2+p0ih+X1hYmMsZ5+40a9YMdrtd0VgvhhZau3ZtvcJUGY1GrFy5EmPGjFGkXSzb9a4J8TeEhoYqygqDwQAvL6867zF6ZYD63Mmv9+DgYPzlL3+RGpktFguaN2/udg3FZs2aobS0VLN25t69e5GcnCz91mnTpqFz587SrFrxfKvzRHx8vEfryoq8vLwwZ84cTJs2TTHgRF2GeZIXu3TpgiNHjkj5x8fHBzU1NaioqJDKSXVZLH6X3rG+lZo2baoJhyLy5NqSc5UXRa+++irmzZsnlV2NGzdGYWGh5pjee++9bhu0161bh1WrVilmuaalpeHQoUPSYAm9uk5sbCwsFov0EO+u7Bf9t+9r8v0CnoW1c8dd2ejp/d/Tcrm++46IiEBRUZEif7tLr5iWfv36acKW6Z2HRo0a6a5/DdTmxe3bt6N3795SnvTy8kJKSoq0b1fXe2pqKjIyMtz+tt9Kfr9pCOJvF8un30pdVujda+vL1T7qykO/hXzf6uen3yIuLg6tW7dWPF94cuz1rjN12ZaQkICwsDBpJPbIkSOxdetWTb0uJiZGUSfxJA/GxsYqBmBGRETg+vXrbsvNAQMGaEJq6dWlxTquu23UBEGA0WiUyhS9a9iTZ4KG1rJlS91IESkpKS6fQetDrz7Up08ffPbZZ24/FxkZ+ZvXlvKkTuPuufV293vVGUSe1Fs8ERAQgO7duyvudfIyqVWrVjh58mS999uiRQvdgar15e7Z1J3w8PDftH6omvw+VFcdF3B939C7LtR55ffOO38E7uqb8vuvJ8dC75i6qpvKz91/6zjf7H708pG6TFTvW1w70dNw9aLfs77kifoeo/+Fa+BO5EnZqDZr1iw88sgjePPNNzWhwsVyd+jQoTCbzVKEMaA2CkNGRgZOnTqFKVOmoKCgALGxscjKyvIocg47Dm8TdrsdnTp1UlR4zGYzfH19UVpa6rLzyM/PDy+99BKWLl0qxckXFy1WP/TIKz1WqxUvv/wylixZolg3y2w2axrwDAaDIsOLIbry8/MxZMgQ6SanftDr2bOnYlaPyWRCQECAJjawuiDs0aMHoqOjFbPvGroh4U52Mzcis9mM5s2bKx7Q9R521A+pNpsN5eXldTaOGY1GReVS3ZAYHByM1NRUTR6prKxU7Pu/0UDzR9DQlZub/f77778fERERirjynjQI1ZUnbTYb7Ha723PbsWNHhISEKBoa9BpN1JXrP0LF7GYqGQ3tZtMcGBh40+veAZ7lp1vtrrvu0sxQuRnyvCgIAkJCQlBcXOy24cnf3x/x8fF1ztihhhUUFIRGjRopGpE8aSipa5uAgABUVFTU2Tjs5+eH6OjoOhu//gjlodwfLT2eupl0GwwGJCYmKsJtedKBbzQaddeOku8jJCQEJSUlbjtFGzVqhMjISEUHRkPXRYiIiIjuZA1d17pd69pEdyJvb29MnToVb7/9tmLdQvWAd0EQYLPZpHaxiIgILFu2TFr+py4MVXqb+P777zWjpBwOB4qLi10uLv70008jOzsbw4cPR0ZGhhQOTBAECIKAhIQEpKamonv37tK6YaI5c+Zg5MiR2LJlC8aPH48WLVrAbDajuroa0dHRirV0fH19kZycrAlv0LJlSynkhMViUayD0aZNG03jZlVVFS5fvux2sfRWrVrh3XffRVpammJ9CbvdLk2D11vT4k4QGxurCfOgDk9hMBgUU8F9fHyQkJBQ77jSRqMRNpsNXl5esFgsusfUx8cHgYGBmvAzkZGR2LVrFzZu3CidI5PJhPLycgQFBUl5x2AwwOl0SuFMxE4bm83mdv0ah8Ohu/C41WqVPte6dWvdPBISEiJtYC5a6gAAEsBJREFU4+PjA6PRKB0vsUPd29sbNptNc8zkx1YQBPj5+SEoKEgTUspd+DY9giAgMDAQUVFRsFqtuuETDAaDYp0P8XNAbeenyWRCSEgIgoODFduYzWZ4e3sr0u3t7Q1fX1/FWiEhISG4++67651PTCYTfH19YTKZEBMTowj5JKY7JCQEYWFhmjA1jRo1wpo1azB58mTpPbFRW16+WK1WxWeNRiOCgoI04Vvkrl+/XmeH8MSJE7FgwQLFmodVVVUIDw9XhGYSBEE6pj4+PvD29oaXlxe8vb0150N9jkwmE4KDg2Gz2RTXpdlsrnfIBoPBAF9fX+k7xLVB9baTp0l+nm02Gxo3biylR0yDutywWCyKPCK+V9+8Lc7cCw0NlfKemslkUuRR8T3R3XffjXnz5iE5OVnKn/Jzov4+8f3g4GBERUUp7jtimSbnydovet8jlhHya0Z9Tl2FhpKHnho8eLAiVKl4nuXHOiwsDG3atFGkefDgwYp7o9Pp1MxQUmvUqBGys7M16+jJz0t98+XtRK981nutfu9mj4m4jrE8z6n3ZTKZdPe/fPlyRSj3xo0ba65R9VpYrVu31uQ59YN9SUlJnZ2GqampyM7OVoQ0VV//jRs31l3nRF6meHps5b9LfNCpLy8vL0V69I6pvDxUE4+j1WqtMzSk0WjUDQ15M4xGI6xWq1Ru6ZUZeuu3AcC8efMUa2L4+Pgofp+3tzfCw8MVecBqtcJisUjv6d3zxbLEXadhdHQ0tmzZoii71GkPDQ1F586dNd9hMpmk3+vJtWU2m92u++Upg8EAHx8fxferucsjru6Xeu+J9yh13r6ZdBMREdHvx1294PegV4+oD3l9S73Mk96+vby8dJ/z6yssLAxNmjRxe6zq25Z0uzAajR6tA+fq+eO3qm8bTF2hf3+vdAK17XmehB52pz4hqP/bfstz/838ZrEtWO+5uq7PpaamYu/evRg+fDiysrIUa1sbjUYkJiZiwIAB6Ny5MwICAmC329G0aVOMHTsWmzZt8rjTEOCMQyIiIiIiIiIiIiIiIiICZxwSEREREREREREREREREdhxSERERERERERERERERERgxyERERERERERERERERERgR2HRERERERERERERERERAR2HBIRERERERERERERERER2HFIRERERERERERERERERGDHIRERERERERERERERERGBHYdEREREREREREREREREBHYcEhERERER/U8ZNWoUWrRogenTpzd0Um5KXl4enn76aXTo0AH33HMPHnroIRw9erShk0VERERERHRHMDV0AoiIiIiIiIg8cfHiRTzxxBMoLy8HAPj5+eHSpUuIjIxs4JQRERERERHdGdhxSERERERERLeF3bt3o7y8HIIgYNWqVejQoUNDJ4mIiIiIiOiOwlClREREREREdFu4evUqACAiIoKdhkRERERERL8DdhwSERERERHRbaG6uhoAYLVaGzglREREREREdyaGKiUiIiIiIrrDXLhwAcuXL8e+fftQWFiI0NBQ9O3bFxMmTHD5maqqKmRmZmLHjh04fvw4rl69CrPZjPDwcHTq1AlPPfUUYmNjpe0XLFiApUuXIiQkBPv27YPJpP942bt3b/z000+YNWsWhg8fLr1/9epVrF69Grt27cLPP/8Mp9OJyMhIdOvWDWPGjEFYWJi07TvvvIPFixdLr0+fPo0WLVoAAN544w0sXrwYhYWFeOqppzB16lTddHz33Xd4/PHHYbFYsH//fvj7+0v/++mnn7BixQocOHAAly5dgsViQXx8PPr164dhw4bBYrHo7vP06dNYu3YtvvnmGxQWFqKiogJ+fn5o2bIlUlNTMXDgQBgMyvG6Yrp37dqFtWvXYtOmTaisrERcXBzmz5+PZs2a6X4XERERERHRrSA4nU5nQyeCiIiIiIiI/jvy8vLw7LPPori4GADg5+eHiooKOBwONG/eHEajEfn5+Xjssccwe/ZsAMCVK1fwzDPP4Pjx4wAAg8EAm82G0tJSab++vr5YvXo1EhMTAQBnzpxBr169AADLli1Dt27dNGnJycnB8OHD4eXlhQMHDkiddbm5uXj++edRVFQEoHYGocFgQHl5OQDA398fixYtQqdOnQAAy5cvx4oVK1BeXo7y8nIYjUYEBQUBAF599VUUFBRg6dKlCAsLw759+zSddQAwffp0rFu3DikpKViwYIH0fmZmJtLS0uBwOKTfabfbpdctW7bEsmXLEB4ertjf+vXrMWPGDGkWpI+PD6qqqmC326Vt+vfvj/nz5ys+J3Yc9ujRA7t27YLFYkF1dTX8/f2xb98+mM1mTdqJiIiIiIhuFYYqJSIiIiIiukOUlZXh+eefR3FxMVq2bIlPP/0Uhw8fxuHDh/HKK6/g9OnTyM/P13zuzTffxPHjxxEaGooPPvgAx44dw6FDh5Cbm4vXX38d3t7eKCsrw8KFC6XPNGnSBO3btwcAZGVl6aYnIyMDQG0nmdhpeOHCBYwbNw5FRUVo2rQpVq1ahdzcXOTk5OCTTz5BYmIiSktLMWHCBJw6dQoA8PTTT+PAgQMYM2YMACA2NhYHDhzAgQMHkJKSgsGDBwMAfv31V3z99deadNjtdnz22WcAgIEDB0rvHz58GFOnToXT6cTYsWPx5Zdf4siRI8jNzcUHH3yA2NhY5Ofn44UXXkBNTY30uR9//BEzZ85EdXU1hg0bhi+//BI5OTnIy8tDdnY2/u///g8AsGXLFuTl5ekem127duG5557DkSNHkJOTg/fff5+dhkRERERE1ODYcUhERERERHSHWLt2LS5duoTAwECsWLECrVu3BlA7o+/JJ5/ElClTNJ8pLS3Ftm3bAACzZs1C165dYTQaAQDe3t4YOnQoRowYAaB2pqDcoEGDANR2gomzBUV2u13ar7gdALz33nsoLi5GSEgI1qxZg44dO0IQBABA27ZtsWrVKsTExKC8vFwxM9AdeSdmZmam5v+7d+9GSUkJwsLCkJycLL0/Z84cVFdXIy0tDZMmTUKjRo0AACaTCV27dkV6ejp8fHyQl5eH7du3S5/bsGEDqqqq0Lp1a8yePVv6nCAIiI+Px8KFC6VOwJycHN00JyQk4K9//StMJhO8vLxwzz33ePRbiYiIiIiIfk/sOCQiIiIiIrpD7Ny5E0DtrLqQkBDN///0pz8hMDBQ8Z7VasXq1asxd+5cPPjgg7r7bd68OYDaGY1yffv2hY+PD8rLy/H5558r/rdnzx4UFxcrOuucTqfUATdq1CjdNNpsNowdOxZAbYef+jtdEWcd7tixAxUVFYr/bd68GQCQmpoqdYqeOnUKx44dgyAIePTRR3X3GR0dLaV9165d0vsjRozA+++/j9mzZ0udnurfIIY2dZX+Ll26ePS7iIiIiIiIbiX91euJiIiIiIjotlJTUyOtUdiuXTvdbcxmM9q1a4c9e/ZI73l5eeG+++7DfffdJ71XWVmJs2fPSp1ru3fvBgBpPT+RzWZDz549kZGRgaysLDzyyCPS/8QwpfLOurNnz+Lq1asAgKSkJJe/RVzbsKqqCidPnsT9999f5+/v27cv3njjDZSVlWH37t1ISUkBULt+4/79+wH8p3MRAI4ePSr93aNHD5f7FTv+xLCpQG2HYnR0tGK7X3/9FWfOnMH333+PnJwcXLp0CQAUIU7lmjRpUudvIiIiIiIiutXYcUhERERERHQHKC4uRlVVFQAgNDTU5XbiTDi1kydPYuXKlfj2229x/vx5OJ1O6X8Gg+tgNYMHD0ZGRga++uorFBUVITQ0FMXFxdi7dy8AZZjSK1euSH+L4T3rSqPY0VgXX19f9OrVC5s3b0ZmZqbUcZidnQ2Hw4HExERp5iQAFBUVAaidBSn+7U5JSYnidUVFBTZu3IjMzEx8//33mlCt4jGTH0c5m83m0e8iIiIiIiK6ldhxSERERERE9D9EnP0n984772Dx4sUAaju84uLi0KxZM7Ro0QLt2rXDr7/+irS0NN39dezYEVFRUTh37hy2bt2K0aNHKzrrEhISpG1ddaKpyWfp6YUCdWXQoEHYvHkz9u/fjytXriA4OFia+SjvwJR/R1RUlDSj0lNnz57F6NGjce7cOQCAv78/2rdvj/j4eCQmJiIpKQnjxo3D6dOnXe7DXWcsERERERFRQ2HHIRERERER0R0gKCgIZrMZDodDCpOpRz7rDwBycnKkTsPhw4fjb3/7m2YdxHXr1rncnyAIGDRoEBYvXozt27dj9OjR0jqGAwcOVGwbHBws/X3x4kVERUXp7vPixYuK3+Wpjh07Ijo6GmfPnsXu3bvRuXNn/Otf/4LZbEa/fv0U24r7LSoqQlVVFUwmzx+PZ8yYgXPnzqFRo0b4xz/+gaSkJE0H5/Xr1z3eHxERERER0R8FhzgSERERERHdAQRBQJs2bQAA3377re42TqdTsbYfAOzYsQMAEBcXh1mzZmk6DQHghx9+UOxDbeDAgRAEATk5Ofjpp5/w3XffwWw2o3///ortYmJipP1//fXXLn/LwYMHAdTOypPPWKyLIAhSZ+WuXbukmYTdu3dXdFoCwN133w2gdj3HQ4cOudznU089hQEDBmDJkiUAatc8PHDgAABg8uTJ6NSpk6bT8OrVq7h8+TIAz2dZEhERERER/RGw45CIiIiIiOgOIc6qy8zMxC+//KL5f1ZWFgoLCxXviWvzuerg+uWXX7Bp0ybptcPh0GwTExODBx54ANXV1Zg9ezaqqqrQrVs3TWedIAjo06cPAGDNmjVS55rc9evX8eGHHwIAOnfuDD8/P5e/V8+gQYMgCAK++uorZGdnA9DOfASAVq1a4a677gIALFy4UPd37d69G1999RUKCgoQFxcHALhx44Z0rOQhVeXeffdd6X/iupNERERERES3A3YcEhERERER3SEee+wxNG/eHOXl5XjyySelmYcOhwMbN27EtGnTNJ9p27YtAODMmTOYO3cuysrKANR2kG3evBnDhw9XhN2sqKjQ/e7BgwcDgDQbT72moGj8+PEIDAzE5cuXMXLkSHz77bdSR1xeXh5Gjx6NX375Bd7e3i7XVXQnOjoaDzzwACoqKnDkyBEEBQWhW7dumu0EQcDkyZMBALm5uXj22WelmZV2ux0ZGRl4+eWXAQCJiYno2bMnACA0NFQKsbpo0SLk5eVJ+/z3v/+NSZMmYfXq1dJ7N27cqPdvICIiIiIiaihc45CIiIiIiOgOYTab8e677+KZZ57Bzz//jFGjRsHX1xcOhwN2ux2NGzdGYmIidu7cKX0mNTUVn3zyCXJycvDhhx9i+fLl8PPzw7Vr16QOvcGDB0uzDs+fPw9/f3/Nd/fu3RuzZ89GeXm5y846AGjcuDGWLFmC559/HqdOncKoUaPg7e0NQRCk2Y+BgYGYP38+mjVrdlPH4dFHH5U6Tfv37w+z2ay73UMPPYTp06fjjTfewMGDB9GvXz/YbDbcuHED1dXVAICoqCi89957in2kpaVh4sSJOHv2LIYOHQqr1Qqn04nKykrpM7GxsTh48CDOnz9/U7+BiIiIiIioIXDGIRERERER0R2kSZMm2LBhAyZOnIj4+HhUV1cjICAAQ4YMwYYNGxASEqLY3mw2Iz09HRMmTEDTpk1hNptRUVGByMhIpKSkYM2aNZgzZ4601uDnn3+u+70+Pj7o0KEDAPeddQDQvn17bN26FePHj5f2KwgCWrRogRdeeAFbtmxBcnLyTR+Drl27Sn+LMyFdGTFiBDIzMzFs2DDExsbC4XDAbDZLacnIyEB4eLjiMw8//DBWr16N7t27IzAwEA6HAxaLBW3btsWkSZOQkZGBxx9/HEDteo3yGZtERERERER/ZIKTK7UTERERERHRb1RRUYHk5GRcu3YNmzZtQmJiYoOlJSsrCy+99BISEhKQlZXVYOkgIiIiIiK63XDGIREREREREf1mWVlZuHbtGlq3bt2gnYZOpxMff/wxAGDo0KENlg4iIiIiIqLbEdc4JCIiIiIiopvyxRdfQBAEnDp1CgsXLgQAPPHEE7c8HdevX8fOnTvh7++PzZs34/Dhw/D3968zTCkREREREREpseOQiIiIiIiIbkpmZia2bt0qvU5KSsIjjzxyy9NhNpsxZcoUxXtpaWmw2Wy3PC1ERERERES3M4YqJSIiIiIiopvStm1b+Pr6IjAwEEOHDsWSJUsgCMItT4fFYkG7du1gNpsRFxeHt956C4MGDbrl6SAiIiIiIrrdCU6n09nQiSAiIiIiIiIiIiIiIiKihsUZh0RERERERERERERERETEjkMiIiIiIiIiIiIiIiIiYschEREREREREREREREREYEdh0REREREREREREREREQEdhwSEREREREREREREREREdhxSEREREREREREREREREQA/h/J7cjsHu7PpgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import datetime\n",
    "\n",
    "train['date'] = pd.to_datetime(train['dteday'])\n",
    "train['dayofyear'] = train[\"date\"].dt.dayofyear  #减今年的第几天\n",
    "\n",
    "fig,ax = plt.subplots()\n",
    "sn.pointplot(data=train[['dayofyear',\n",
    "                           'cnt',\n",
    "                           'yr']],\n",
    "             x='dayofyear',y='cnt',\n",
    "             hue='yr',ax=ax)\n",
    "ax.set(title=\"dayly distribution of counts\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 季节与骑车数量的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Seasonly distribution of counts')]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "sn.barplot(data=train[['season',\n",
    "                       'cnt']],\n",
    "           x=\"season\",y=\"cnt\")\n",
    "ax.set(title=\"Seasonly distribution of counts\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 月份与骑车数量的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Monthly distribution of counts')]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "sn.barplot(data=train[['mnth',\n",
    "                       'cnt']],\n",
    "           x=\"mnth\",y=\"cnt\")\n",
    "ax.set(title=\"Monthly distribution of counts\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 天气和骑车数目的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'weathersit distribution of counts')]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "sn.barplot(data=train[['weathersit',\n",
    "                       'cnt']],\n",
    "           x=\"weathersit\",y=\"cnt\")\n",
    "ax.set(title=\"weathersit distribution of counts\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 工作日和节假日的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a18cf1d30>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,(ax1,ax2) = plt.subplots(ncols=2)\n",
    "sn.barplot(data=train,x='holiday',y='cnt',hue='season',ax=ax1)\n",
    "sn.barplot(data=train,x='workingday',y='cnt',hue='season',ax=ax2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a191f02b0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrMatt = train[[\"temp\",\"atemp\",\n",
    "                  \"hum\",\"windspeed\",\n",
    "                  \"casual\",\"registered\",\n",
    "                  \"cnt\"]].corr()\n",
    "mask = np.array(corrMatt)\n",
    "mask[np.tril_indices_from(mask)] = False\n",
    "sn.heatmap(corrMatt, mask=mask,\n",
    "           vmax=.8, square=True,annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征工程"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season_1</th>\n",
       "      <th>season_2</th>\n",
       "      <th>season_3</th>\n",
       "      <th>season_4</th>\n",
       "      <th>mnth_1</th>\n",
       "      <th>mnth_2</th>\n",
       "      <th>mnth_3</th>\n",
       "      <th>mnth_4</th>\n",
       "      <th>mnth_5</th>\n",
       "      <th>mnth_6</th>\n",
       "      <th>...</th>\n",
       "      <th>weathersit_1</th>\n",
       "      <th>weathersit_2</th>\n",
       "      <th>weathersit_3</th>\n",
       "      <th>weekday_0</th>\n",
       "      <th>weekday_1</th>\n",
       "      <th>weekday_2</th>\n",
       "      <th>weekday_3</th>\n",
       "      <th>weekday_4</th>\n",
       "      <th>weekday_5</th>\n",
       "      <th>weekday_6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   season_1  season_2  season_3  season_4  mnth_1  mnth_2  mnth_3  mnth_4  \\\n",
       "0         1         0         0         0       1       0       0       0   \n",
       "1         1         0         0         0       1       0       0       0   \n",
       "2         1         0         0         0       1       0       0       0   \n",
       "3         1         0         0         0       1       0       0       0   \n",
       "4         1         0         0         0       1       0       0       0   \n",
       "\n",
       "   mnth_5  mnth_6    ...      weathersit_1  weathersit_2  weathersit_3  \\\n",
       "0       0       0    ...                 0             1             0   \n",
       "1       0       0    ...                 0             1             0   \n",
       "2       0       0    ...                 1             0             0   \n",
       "3       0       0    ...                 1             0             0   \n",
       "4       0       0    ...                 1             0             0   \n",
       "\n",
       "   weekday_0  weekday_1  weekday_2  weekday_3  weekday_4  weekday_5  weekday_6  \n",
       "0          0          0          0          0          0          0          1  \n",
       "1          1          0          0          0          0          0          0  \n",
       "2          0          1          0          0          0          0          0  \n",
       "3          0          0          1          0          0          0          0  \n",
       "4          0          0          0          1          0          0          0  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorical_features = ['season','mnth','weathersit','weekday']\n",
    "x_train_cat = train[categorical_features]\n",
    "x_train_cat = pd.get_dummies(x_train_cat)\n",
    "x_train_cat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.379232</td>\n",
       "      <td>0.360541</td>\n",
       "      <td>0.715771</td>\n",
       "      <td>0.466215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.171000</td>\n",
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       "      <td>0.449313</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "       temp     atemp       hum  windspeed\n",
       "0  0.355170  0.373517  0.828620   0.284606\n",
       "1  0.379232  0.360541  0.715771   0.466215\n",
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       "4  0.209120  0.197158  0.449313   0.339143"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#数值型变量预处理\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "mn_x = MinMaxScaler()\n",
    "numerical_features = ['temp','atemp','hum','windspeed']\n",
    "temp = mn_x.fit_transform(train[numerical_features])\n",
    "\n",
    "x_train_num = pd.DataFrame(data=temp, columns=numerical_features, index =train.index)\n",
    "x_train_num.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season_1</th>\n",
       "      <th>season_2</th>\n",
       "      <th>season_3</th>\n",
       "      <th>season_4</th>\n",
       "      <th>mnth_1</th>\n",
       "      <th>mnth_2</th>\n",
       "      <th>mnth_3</th>\n",
       "      <th>mnth_4</th>\n",
       "      <th>mnth_5</th>\n",
       "      <th>mnth_6</th>\n",
       "      <th>...</th>\n",
       "      <th>weekday_3</th>\n",
       "      <th>weekday_4</th>\n",
       "      <th>weekday_5</th>\n",
       "      <th>weekday_6</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.209120</td>\n",
       "      <td>0.197158</td>\n",
       "      <td>0.449313</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   season_1  season_2  season_3  season_4  mnth_1  mnth_2  mnth_3  mnth_4  \\\n",
       "0         1         0         0         0       1       0       0       0   \n",
       "1         1         0         0         0       1       0       0       0   \n",
       "2         1         0         0         0       1       0       0       0   \n",
       "3         1         0         0         0       1       0       0       0   \n",
       "4         1         0         0         0       1       0       0       0   \n",
       "\n",
       "   mnth_5  mnth_6     ...      weekday_3  weekday_4  weekday_5  weekday_6  \\\n",
       "0       0       0     ...              0          0          0          1   \n",
       "1       0       0     ...              0          0          0          0   \n",
       "2       0       0     ...              0          0          0          0   \n",
       "3       0       0     ...              0          0          0          0   \n",
       "4       0       0     ...              1          0          0          0   \n",
       "\n",
       "       temp     atemp       hum  windspeed  holiday  workingday  \n",
       "0  0.355170  0.373517  0.828620   0.284606        0           0  \n",
       "1  0.379232  0.360541  0.715771   0.466215        0           0  \n",
       "2  0.171000  0.144830  0.449638   0.465740        0           1  \n",
       "3  0.175530  0.174649  0.607131   0.284297        0           1  \n",
       "4  0.209120  0.197158  0.449313   0.339143        0           1  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Join categorical and numerical features\n",
    "x_train = pd.concat([x_train_cat, x_train_num, train['holiday'],  train['workingday']], axis = 1, ignore_index=False)\n",
    "x_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0.144830</td>\n",
       "      <td>0.449638</td>\n",
       "      <td>0.465740</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.175530</td>\n",
       "      <td>0.174649</td>\n",
       "      <td>0.607131</td>\n",
       "      <td>0.284297</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.209120</td>\n",
       "      <td>0.197158</td>\n",
       "      <td>0.449313</td>\n",
       "      <td>0.339143</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant  season_1  season_2  season_3  season_4  mnth_1  mnth_2  mnth_3  \\\n",
       "0        1         1         0         0         0       1       0       0   \n",
       "1        2         1         0         0         0       1       0       0   \n",
       "2        3         1         0         0         0       1       0       0   \n",
       "3        4         1         0         0         0       1       0       0   \n",
       "4        5         1         0         0         0       1       0       0   \n",
       "\n",
       "   mnth_4  mnth_5  ...   weekday_5  weekday_6      temp     atemp       hum  \\\n",
       "0       0       0  ...           0          1  0.355170  0.373517  0.828620   \n",
       "1       0       0  ...           0          0  0.379232  0.360541  0.715771   \n",
       "2       0       0  ...           0          0  0.171000  0.144830  0.449638   \n",
       "3       0       0  ...           0          0  0.175530  0.174649  0.607131   \n",
       "4       0       0  ...           0          0  0.209120  0.197158  0.449313   \n",
       "\n",
       "   windspeed  holiday  workingday  yr   cnt  \n",
       "0   0.284606        0           0   0   985  \n",
       "1   0.466215        0           0   0   801  \n",
       "2   0.465740        0           1   0  1349  \n",
       "3   0.284297        0           1   0  1562  \n",
       "4   0.339143        0           1   0  1600  \n",
       "\n",
       "[5 rows x 35 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "FE_train = pd.concat([train['instant'], x_train,  train['yr'],train['cnt']], axis = 1)\n",
    "FE_train.to_csv('FE_day.csv', index=False)\n",
    "FE_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 35 columns):\n",
      "instant         731 non-null int64\n",
      "season_1        731 non-null uint8\n",
      "season_2        731 non-null uint8\n",
      "season_3        731 non-null uint8\n",
      "season_4        731 non-null uint8\n",
      "mnth_1          731 non-null uint8\n",
      "mnth_2          731 non-null uint8\n",
      "mnth_3          731 non-null uint8\n",
      "mnth_4          731 non-null uint8\n",
      "mnth_5          731 non-null uint8\n",
      "mnth_6          731 non-null uint8\n",
      "mnth_7          731 non-null uint8\n",
      "mnth_8          731 non-null uint8\n",
      "mnth_9          731 non-null uint8\n",
      "mnth_10         731 non-null uint8\n",
      "mnth_11         731 non-null uint8\n",
      "mnth_12         731 non-null uint8\n",
      "weathersit_1    731 non-null uint8\n",
      "weathersit_2    731 non-null uint8\n",
      "weathersit_3    731 non-null uint8\n",
      "weekday_0       731 non-null uint8\n",
      "weekday_1       731 non-null uint8\n",
      "weekday_2       731 non-null uint8\n",
      "weekday_3       731 non-null uint8\n",
      "weekday_4       731 non-null uint8\n",
      "weekday_5       731 non-null uint8\n",
      "weekday_6       731 non-null uint8\n",
      "temp            731 non-null float64\n",
      "atemp           731 non-null float64\n",
      "hum             731 non-null float64\n",
      "windspeed       731 non-null float64\n",
      "holiday         731 non-null int64\n",
      "workingday      731 non-null int64\n",
      "yr              731 non-null int64\n",
      "cnt             731 non-null int64\n",
      "dtypes: float64(4), int64(5), uint8(26)\n",
      "memory usage: 70.0 KB\n"
     ]
    }
   ],
   "source": [
    "FE_train.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 回归"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据准备"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant season  yr mnth  holiday weekday  workingday weathersit      temp  \\\n",
       "0        1      1   0    1        0       6           0          2  0.344167   \n",
       "1        2      1   0    1        0       0           0          2  0.363478   \n",
       "2        3      1   0    1        0       1           1          1  0.196364   \n",
       "3        4      1   0    1        0       2           1          1  0.200000   \n",
       "4        5      1   0    1        0       3           1          1  0.226957   \n",
       "\n",
       "      atemp       hum  windspeed  \n",
       "0  0.363625  0.805833   0.160446  \n",
       "1  0.353739  0.696087   0.248539  \n",
       "2  0.189405  0.437273   0.248309  \n",
       "3  0.212122  0.590435   0.160296  \n",
       "4  0.229270  0.436957   0.186900  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 从原始数据中分离输入特征x和输出y\n",
    "y = train['cnt'].values\n",
    "# 去掉y和不相关的特征\n",
    "X = train.drop(['cnt','registered','casual','dteday','date','dayofyear'], axis = 1)\n",
    "columns = X.columns\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(731, 12)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(584, 12)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# 随机采样20%的数据构建测试样本，其余作为训练样本\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=33, test_size=0.2)\n",
    "X_train.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据标准化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/LordLuking/anaconda/envs/tensorflow/lib/python3.6/site-packages/sklearn/preprocessing/data.py:617: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.\n",
      "  return self.partial_fit(X, y)\n",
      "/Users/LordLuking/anaconda/envs/tensorflow/lib/python3.6/site-packages/sklearn/base.py:462: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.\n",
      "  return self.fit(X, **fit_params).transform(X)\n",
      "/Users/LordLuking/anaconda/envs/tensorflow/lib/python3.6/site-packages/ipykernel_launcher.py:9: DataConversionWarning: Data with input dtype int64, float64, object were all converted to float64 by StandardScaler.\n",
      "  if __name__ == '__main__':\n",
      "/Users/LordLuking/anaconda/envs/tensorflow/lib/python3.6/site-packages/sklearn/utils/validation.py:590: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, DataConversionWarning)\n",
      "/Users/LordLuking/anaconda/envs/tensorflow/lib/python3.6/site-packages/sklearn/utils/validation.py:590: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, DataConversionWarning)\n",
      "/Users/LordLuking/anaconda/envs/tensorflow/lib/python3.6/site-packages/sklearn/utils/validation.py:590: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, DataConversionWarning)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# 分别初始化对特征和目标值的标准化器\n",
    "ss_X = StandardScaler()\n",
    "ss_y = StandardScaler()\n",
    "\n",
    "# 分别对训练和测试数据的特征以及目标值进行标准化处理\n",
    "X_train = ss_X.fit_transform(X_train)\n",
    "X_test = ss_X.transform(X_test)\n",
    "\n",
    "#对y做标准化不是必须\n",
    "#对y标准化的好处是不同问题的w差异不太大，同时正则参数的范围也有限\n",
    "y_train = ss_y.fit_transform(y_train.reshape(-1, 1))\n",
    "y_test = ss_y.transform(y_test.reshape(-1, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>weekday_3</th>\n",
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       "      <td>0</td>\n",
       "      <td>0.209120</td>\n",
       "      <td>0.197158</td>\n",
       "      <td>0.449313</td>\n",
       "      <td>0.339143</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   season_1  season_2  season_3  season_4  mnth_1  mnth_2  mnth_3  mnth_4  \\\n",
       "0         1         0         0         0       1       0       0       0   \n",
       "1         1         0         0         0       1       0       0       0   \n",
       "2         1         0         0         0       1       0       0       0   \n",
       "3         1         0         0         0       1       0       0       0   \n",
       "4         1         0         0         0       1       0       0       0   \n",
       "\n",
       "   mnth_5  mnth_6     ...      weekday_3  weekday_4  weekday_5  weekday_6  \\\n",
       "0       0       0     ...              0          0          0          1   \n",
       "1       0       0     ...              0          0          0          0   \n",
       "2       0       0     ...              0          0          0          0   \n",
       "3       0       0     ...              0          0          0          0   \n",
       "4       0       0     ...              1          0          0          0   \n",
       "\n",
       "       temp     atemp       hum  windspeed  holiday  workingday  \n",
       "0  0.355170  0.373517  0.828620   0.284606        0           0  \n",
       "1  0.379232  0.360541  0.715771   0.466215        0           0  \n",
       "2  0.171000  0.144830  0.449638   0.465740        0           1  \n",
       "3  0.175530  0.174649  0.607131   0.284297        0           1  \n",
       "4  0.209120  0.197158  0.449313   0.339143        0           1  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 最小二乘线性回归模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>columns</th>\n",
       "      <th>coef</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>yr</td>\n",
       "      <td>[1.4286815977773555]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mnth</td>\n",
       "      <td>[0.42743454935728775]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>season</td>\n",
       "      <td>[0.3041985312871963]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>atemp</td>\n",
       "      <td>[0.2487796232674787]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>temp</td>\n",
       "      <td>[0.23569164083821006]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>weekday</td>\n",
       "      <td>[0.06956207484487609]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>workingday</td>\n",
       "      <td>[0.04514524994041292]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>holiday</td>\n",
       "      <td>[-0.02917687120063021]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>hum</td>\n",
       "      <td>[-0.053534191214862956]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>[-0.08916019538030694]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>weathersit</td>\n",
       "      <td>[-0.198553681976563]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>instant</td>\n",
       "      <td>[-1.0432738159581774]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       columns                     coef\n",
       "2           yr     [1.4286815977773555]\n",
       "3         mnth    [0.42743454935728775]\n",
       "1       season     [0.3041985312871963]\n",
       "9        atemp     [0.2487796232674787]\n",
       "8         temp    [0.23569164083821006]\n",
       "5      weekday    [0.06956207484487609]\n",
       "6   workingday    [0.04514524994041292]\n",
       "4      holiday   [-0.02917687120063021]\n",
       "10         hum  [-0.053534191214862956]\n",
       "11   windspeed   [-0.08916019538030694]\n",
       "7   weathersit     [-0.198553681976563]\n",
       "0      instant    [-1.0432738159581774]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 线性回归\n",
    "#class sklearn.linear_model.LinearRegression(fit_intercept=True, normalize=False, copy_X=True, n_jobs=1)\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "# 使用默认配置初始化\n",
    "lr = LinearRegression()\n",
    "\n",
    "# 训练模型参数\n",
    "lr.fit(X_train, y_train)\n",
    "\n",
    "# 预测\n",
    "y_test_pred_lr = lr.predict(X_test)\n",
    "y_train_pred_lr = lr.predict(X_train)\n",
    "\n",
    "\n",
    "# 看看各特征的权重系数，系数的绝对值大小可视为该特征的重要性\n",
    "fs = pd.DataFrame({\"columns\":list(columns), \"coef\":list((lr.coef_.T))})\n",
    "fs.sort_values(by=['coef'],ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 模型估计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The RMSE of LinearRegression on test is 0.4274216705289743\n",
      "The RMSE of LinearRegression on train is 0.4533801608416963\n"
     ]
    }
   ],
   "source": [
    "# 使用RMSE评价模型在测试集和训练集上的性能，并输出评估结果\n",
    "#测试集\n",
    "print('The RMSE of LinearRegression on test is', np.sqrt(mean_squared_error(y_test, y_test_pred_lr)))\n",
    "#训练集\n",
    "print('The RMSE of LinearRegression on train is', np.sqrt(mean_squared_error(y_train, y_train_pred_lr)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在训练集上观察预测残差的分布，看是否符合模型假设：噪声为0均值的高斯噪声\n",
    "f, ax = plt.subplots(figsize=(7, 5)) \n",
    "f.tight_layout() \n",
    "ax.hist(y_train - y_train_pred_lr,bins=40, label='Residuals Linear', color='b', alpha=.5); \n",
    "ax.set_title(\"Histogram of Residuals\") \n",
    "ax.legend(loc='best');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "残差分布和高斯分布比较匹配，但还是右skew"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#还可以观察预测值与真值的散点图\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.scatter(y_train, y_train_pred_lr)\n",
    "plt.plot([-2, 2], [-2, 2], '--k')   \n",
    "plt.axis('tight')\n",
    "plt.xlabel('True price')\n",
    "plt.ylabel('Predicted price')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "y值大的部分不太好"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 岭回归"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import  RidgeCV\n",
    "\n",
    "#设置超参数（正则参数）范围\n",
    "alphas = [ 0.01, 0.1, 1, 10,100]\n",
    "\n",
    "#生成一个RidgeCV实例\n",
    "ridge = RidgeCV(alphas=alphas,cv=5)  \n",
    "\n",
    "#模型训练\n",
    "ridge.fit(X_train, y_train)    \n",
    "\n",
    "#预测\n",
    "y_test_pred_ridge = ridge.predict(X_test)\n",
    "y_train_pred_ridge = ridge.predict(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "超参数alpha: 10.0\n"
     ]
    }
   ],
   "source": [
    "# Hyperparameter\n",
    "alpha = ridge.alpha_\n",
    "print('超参数alpha:',alpha)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>columns</th>\n",
       "      <th>coef_lr</th>\n",
       "      <th>coef_ridge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>yr</td>\n",
       "      <td>[1.4286815977773555]</td>\n",
       "      <td>[0.3926766475806896]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mnth</td>\n",
       "      <td>[0.42743454935728775]</td>\n",
       "      <td>[-0.1385618089858953]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>season</td>\n",
       "      <td>[0.3041985312871963]</td>\n",
       "      <td>[0.2783083943348016]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>atemp</td>\n",
       "      <td>[0.2487796232674787]</td>\n",
       "      <td>[0.25130444651090483]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>temp</td>\n",
       "      <td>[0.23569164083821006]</td>\n",
       "      <td>[0.2335077278205062]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>weekday</td>\n",
       "      <td>[0.06956207484487609]</td>\n",
       "      <td>[0.06776464467894142]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>workingday</td>\n",
       "      <td>[0.04514524994041292]</td>\n",
       "      <td>[0.0436290459438142]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>holiday</td>\n",
       "      <td>[-0.02917687120063021]</td>\n",
       "      <td>[-0.029868791152434408]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>hum</td>\n",
       "      <td>[-0.053534191214862956]</td>\n",
       "      <td>[-0.06294137965529727]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>[-0.08916019538030694]</td>\n",
       "      <td>[-0.09309314839480372]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>weathersit</td>\n",
       "      <td>[-0.198553681976563]</td>\n",
       "      <td>[-0.18920755339978632]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>instant</td>\n",
       "      <td>[-1.0432738159581774]</td>\n",
       "      <td>[0.15426842719843006]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       columns                  coef_lr               coef_ridge\n",
       "2           yr     [1.4286815977773555]     [0.3926766475806896]\n",
       "3         mnth    [0.42743454935728775]    [-0.1385618089858953]\n",
       "1       season     [0.3041985312871963]     [0.2783083943348016]\n",
       "9        atemp     [0.2487796232674787]    [0.25130444651090483]\n",
       "8         temp    [0.23569164083821006]     [0.2335077278205062]\n",
       "5      weekday    [0.06956207484487609]    [0.06776464467894142]\n",
       "6   workingday    [0.04514524994041292]     [0.0436290459438142]\n",
       "4      holiday   [-0.02917687120063021]  [-0.029868791152434408]\n",
       "10         hum  [-0.053534191214862956]   [-0.06294137965529727]\n",
       "11   windspeed   [-0.08916019538030694]   [-0.09309314839480372]\n",
       "7   weathersit     [-0.198553681976563]   [-0.18920755339978632]\n",
       "0      instant    [-1.0432738159581774]    [0.15426842719843006]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 看看各特征的权重系数，系数的绝对值大小可视为该特征的重要性\n",
    "fs = pd.DataFrame({\"columns\":list(columns), \"coef_lr\":list((lr.coef_.T)), \"coef_ridge\":list((ridge.coef_.T))})\n",
    "fs.sort_values(by=['coef_lr'],ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 评估"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The RMSE of RidgeCV on test is 0.4254906737014429\n",
      "The RMSE of RidgeCV on train is 0.45623596489460055\n"
     ]
    }
   ],
   "source": [
    "# 评估，使用RMSE评价模型在测试集和训练集上的性能\n",
    "print('The RMSE of RidgeCV on test is', np.sqrt(mean_squared_error(y_test, y_test_pred_ridge)))\n",
    "print('The RMSE of RidgeCV on train is', np.sqrt(mean_squared_error(y_train, y_train_pred_ridge)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 散点图\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.scatter(y_train, y_train_pred_ridge)\n",
    "plt.plot([-2, 2], [-2, 2], '--k')   \n",
    "plt.axis('tight')\n",
    "plt.xlabel('True price')\n",
    "plt.ylabel('Predicted price')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LASSO模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "超参数alpha为： 0.01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/LordLuking/anaconda/envs/tensorflow/lib/python3.6/site-packages/sklearn/linear_model/coordinate_descent.py:1108: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LassoCV\n",
    "\n",
    "lasso = LassoCV(alphas=alphas,cv=5)  \n",
    "\n",
    "#训练（内含CV）\n",
    "lasso.fit(X_train, y_train)  \n",
    "\n",
    "#测试\n",
    "y_test_pred_lasso = lasso.predict(X_test)\n",
    "y_train_pred_lasso = lasso.predict(X_train)\n",
    "\n",
    "#Hyperparameter\n",
    "print('超参数alpha为：',lasso.alpha_)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>columns</th>\n",
       "      <th>coef_lr</th>\n",
       "      <th>coef_ridge</th>\n",
       "      <th>coef_lasso</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>yr</td>\n",
       "      <td>[1.4286815977773555]</td>\n",
       "      <td>[0.3926766475806896]</td>\n",
       "      <td>0.522253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mnth</td>\n",
       "      <td>[0.42743454935728775]</td>\n",
       "      <td>[-0.1385618089858953]</td>\n",
       "      <td>-0.021166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>season</td>\n",
       "      <td>[0.3041985312871963]</td>\n",
       "      <td>[0.2783083943348016]</td>\n",
       "      <td>0.238309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>atemp</td>\n",
       "      <td>[0.2487796232674787]</td>\n",
       "      <td>[0.25130444651090483]</td>\n",
       "      <td>0.269177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>temp</td>\n",
       "      <td>[0.23569164083821006]</td>\n",
       "      <td>[0.2335077278205062]</td>\n",
       "      <td>0.214679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>weekday</td>\n",
       "      <td>[0.06956207484487609]</td>\n",
       "      <td>[0.06776464467894142]</td>\n",
       "      <td>0.058887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>workingday</td>\n",
       "      <td>[0.04514524994041292]</td>\n",
       "      <td>[0.0436290459438142]</td>\n",
       "      <td>0.037327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>holiday</td>\n",
       "      <td>[-0.02917687120063021]</td>\n",
       "      <td>[-0.029868791152434408]</td>\n",
       "      <td>-0.025127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>hum</td>\n",
       "      <td>[-0.053534191214862956]</td>\n",
       "      <td>[-0.06294137965529727]</td>\n",
       "      <td>-0.051614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>[-0.08916019538030694]</td>\n",
       "      <td>[-0.09309314839480372]</td>\n",
       "      <td>-0.082285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>weathersit</td>\n",
       "      <td>[-0.198553681976563]</td>\n",
       "      <td>[-0.18920755339978632]</td>\n",
       "      <td>-0.190071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>instant</td>\n",
       "      <td>[-1.0432738159581774]</td>\n",
       "      <td>[0.15426842719843006]</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       columns                  coef_lr               coef_ridge  coef_lasso\n",
       "2           yr     [1.4286815977773555]     [0.3926766475806896]    0.522253\n",
       "3         mnth    [0.42743454935728775]    [-0.1385618089858953]   -0.021166\n",
       "1       season     [0.3041985312871963]     [0.2783083943348016]    0.238309\n",
       "9        atemp     [0.2487796232674787]    [0.25130444651090483]    0.269177\n",
       "8         temp    [0.23569164083821006]     [0.2335077278205062]    0.214679\n",
       "5      weekday    [0.06956207484487609]    [0.06776464467894142]    0.058887\n",
       "6   workingday    [0.04514524994041292]     [0.0436290459438142]    0.037327\n",
       "4      holiday   [-0.02917687120063021]  [-0.029868791152434408]   -0.025127\n",
       "10         hum  [-0.053534191214862956]   [-0.06294137965529727]   -0.051614\n",
       "11   windspeed   [-0.08916019538030694]   [-0.09309314839480372]   -0.082285\n",
       "7   weathersit     [-0.198553681976563]   [-0.18920755339978632]   -0.190071\n",
       "0      instant    [-1.0432738159581774]    [0.15426842719843006]    0.000000"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 看看各特征的权重系数，系数的绝对值大小可视为该特征的重要性\n",
    "fs = pd.DataFrame({\"columns\":list(columns), \"coef_lr\":list((lr.coef_.T)), \"coef_ridge\":list((ridge.coef_.T)), \"coef_lasso\":list((lasso.coef_.T))})\n",
    "fs.sort_values(by=['coef_lr'],ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 评估"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The RMSE of LassoCV on test is 0.42708641693568244\n",
      "The RMSE of LassoCV on train is 0.4573768980840869\n"
     ]
    }
   ],
   "source": [
    "# 评估，使用RMSE评价模型在测试集和训练集上的性能\n",
    "print('The RMSE of LassoCV on test is', np.sqrt(mean_squared_error(y_test, y_test_pred_lasso)))\n",
    "print('The RMSE of LassoCV on train is', np.sqrt(mean_squared_error(y_train, y_train_pred_lasso)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 散点图\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.scatter(y_train, y_train_pred_lasso)\n",
    "plt.plot([-2, 2], [-2, 2], '--k')   \n",
    "plt.axis('tight')\n",
    "plt.xlabel('True price')\n",
    "plt.ylabel('Predicted price')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 总结\n",
    "三种模型区别不大。相对来说，岭回归模型在训练集中表现略好一点点。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python3 (tensorflow)",
   "language": "python",
   "name": "tensorflow"
  },
  "language_info": {
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